Reading tough books to achieve excellent marks, perform well in class, and gain attention from teachers and parents is less likely to drive students. Students used to evaluate their language learning requirements, define the abilities they wished to develop, pick effective study techniques, and set aside gadgets when studying. They also used to read the question before looking for hints in the relevant content, extract the essential lines that convey the major ideas, concentrate on titles, names, numbers, quotations, or (...) instances, and comprehend the overall context to infer an option. The survey discovered that most of the time, students utilized it to determine the progress of their learning and create learning objectives. It was also found that there was a link between the exogenous variables and the academic performance of students. (shrink)

Recent advances in natural language processing have given rise to a new kind of AI architecture: the language agent. By repeatedly calling an LLM to perform a variety of cognitive tasks, language agents are able to function autonomously to pursue goals specified in natural language and stored in a human-readable format. Because of their architecture, language agents exhibit behavior that is predictable according to the laws of folk psychology: they function as though they have desires (...) and beliefs, and then make and update plans to pursue their desires given their beliefs. We argue that the rise of language agents significantly reduces the probability of an existential catastrophe due to loss of control over an AGI. This is because the probability of such an existential catastrophe is proportional to the difficulty of aligning AGI systems, and language agents significantly reduce that difficulty. In particular, language agents help to resolve three important issues related to aligning AIs: reward misspecification, goal misgeneralization, and uninterpretability. (shrink)

J. L. Austin showed that performative speech acts can fail in various ways, and that the ways in which they fail can often be revealing, but he was not concerned with understanding performative failures that occur in the context of poetry. Geoffrey Hill suggests, in both his poetry and his prose writings, that these failures are more interesting than Austin realized. This article corrects Maximilian de Gaynesford’s misunderstanding of Hill’s treatment of this point. It then explains the way (...) in which Hill’s understanding of the performative restrictions on poetry relate to his conception of poetry’s role, analogous to that of the Saturnalian misruler, in establishing the authority of ordinary language. (shrink)

Music and language are universal human abilities with many apparent similarities relating to their acoustics, structure, and frequent use in social situations. We might therefore expect them to be understood and processed similarly, and indeed an emerging body of research suggests that this is the case. But the focus has historically been on the individual, looking at the passive listener or the isolated speaker or performer, even though social interaction is the primary site of use for both domains. Nonetheless, (...) an important goal of emerging research is to compare music and language in terms of acoustics and structure, social interaction, and functional origins to develop parallel accounts across the two domains. Indeed, a central aim of both of evolutionary musicology and language evolution research is to understand the adaptive significance or functional origin of human music and language. An influential proposal to emerge in recent years has been referred to as the social bonding hypothesis. Here, within a comparative approach to animal communication systems, I review empirical studies in support of the social bonding hypothesis in humans, non-human primates, songbirds, and various other mammals. In support of this hypothesis, I review six research fields: (i) the functional origins of music; (ii) the functional origins of language; (iii) mechanisms of social synchrony for human social bonding; (iv) language and social bonding in humans; (v) music and social bonding in humans; and (vi) pitch, tone and emotional expression in human speech and music. I conclude that the comparative study of complex vocalizations and behaviors in various extant species can provide important insights into the adaptive function(s) of these traits in these species, as well as offer evidence-based speculations for the existence of “musilanguage” in our primate ancestors, and thus inform our understanding of the biology and evolution of human music and language. (shrink)

Performance is increasingly important to the poet, which is evidenced by the growing numbers of videos and audio recordings online including YouTube, the National Poetry library, and Poetry Archive. As a result, there are greater opportunities to engage with poets reading their own work and consequently, there is a need to move away from thinking of poetry as primary something that takes shape on the page. Furthermore, by refocusing attention to poetry as an oral artform, in particular to poetry performance, (...) different ways of understanding the value of poetry come to the fore. The live poetry performance, I argue, offers an attempt to reclaim the personal individual expression of language in contemporary society and demands attention by the audience because of the role of voice and body in the performance. Through awareness of ‘uniqueness of voice,’ the performed poem becomes a site of collective meaning making with individual identity intact as a shared endeavour between performer and audience, and necessarily resists appropriation (in the sense that the words experienced cannot be divorced from the performer or the performance space to serve as a proxy for meaning elsewhere). This chapter therefore makes an argument for the need to engage with spoken word and performance poetry in the live performance space. (shrink)

I demonstrate that a "speech act" theory of meaning for imperatives is—contra a dominant position in philosophy and linguistics—theoretically desirable. A speech act-theoretic account of the meaning of an imperative !φ is characterized, broadly, by the following claims. -/- LINGUISTIC MEANING AS USE !φ’s meaning is a matter of the speech act an utterance of it conventionally functions to express—what a speaker conventionally uses it to do (its conventional discourse function, CDF). -/- IMPERATIVE USE AS PRACTICAL !φ's CDF is to (...) express a practical (non-representational) state of mind—one concerning an agent's preferences and plans, rather than her beliefs. -/- Opposed to speech act accounts is a preponderance of views which deny that a sentence's linguistic meaning is a matter of what speech act it is used to perform, or its CDF. On such accounts, meaning is, instead, a matter of "static" properties of the sentence—e.g., how it depicts the world as being (or, more neutrally, the properties of a model-theoretic object with which the semantic value of the sentence co-varies). On one version of a static account, an imperative 'shut the window!' might, for instance, depict the world as being such that the window must be shut. -/- Static accounts are traditionally motivated against speech act-theoretic accounts by appeal to supposedly irremediable explanatory deficiencies in the latter. Whatever a static account loses in saying (prima facie counterintuitively) that an imperative conventionally represents, or expresses a picture of the world, is said to be offset by its ability to explain a variety of phenomena for which speech act-theoretic accounts are said to lack good explanations (even, in many cases, the bare ability to offer something that might meet basic criteria on what a good explanation should be like). -/- I aim to turn the tables on static accounts. I do this by showing that speech act accounts are capable of giving explanations of phenomena which fans of static accounts have alleged them unable to give. Indeed, for a variety of absolutely fundamental phenomena having to do with the conventional meaning of imperatives (and other types of practical language), speech act accounts provide natural and theoretically satisfying explanations, where a representational account provides none. (shrink)

Many philosophers think that games like chess, languages like English, and speech acts like assertion are constituted by rules. Lots of others disagree. To argue over this productively, it would be first useful to know what it would be for these things to be rule-constituted. Searle famously claimed in Speech Acts that rules constitute things in the sense that they make possible the performance of actions related to those things (Searle 1969). On this view, rules constitute games, languages, and speech (...) acts in the sense that they make possible playing them, speaking them and performing them. This raises the question what it is to perform rule-constituted actions (e. g. play, speak, assert) and the question what makes constitutive rules distinctive such that only they make possible the performance of new actions (e. g. playing). In this paper I will criticize Searle’s answers to these questions. However, my main aim is to develop a better view, explain how it works in the case of each of games, language, and assertion and illustrate its appeal by showing how it enables rule-based views of these things to respond to various objections. (shrink)

In a recent letter, Dillion et. al (2023) make various suggestions regarding the idea of artificially intelligent systems, such as large language models, replacing human subjects in empirical moral psychology. We argue that human subjects are in various ways indispensable.

The fourth goal in Sustainable Development Goals (SDG) spells out Quality Education that demands teachers across all disciplines to teach effectively. The available literature suggests that teaching effectiveness starts from good planning, which should be evident in the documentation of lesson plans. However, when it comes to English teachers, their demanding roles that are attributed to the value-laden content, the grading of essays, the performance pressure of high-stake testing, and the requirement of culturally appropriate pedagogies (Loh & Liew, 2016)have caused (...) the practice of writing lesson plans to be challenged, causing the effectiveness of the teaching to be jeopardised. English teachers in international schools are not exempted from facing this problem, yet little studies have been done on the teachers in this context. To achieve the purpose, this research adopts a case study design using document analysis and semi-structured interview to collect the data. The data were analysed quantitatively using a lesson plan rubric by Student Teacher Assessment Instrument (STAI) and thematic analysis, respectively. The study unveils that the teachers had a moderate level of lesson plan, suggesting a need for further support in lesson planning. The findings of this study will be helpful for English. Teachers understand the importance of writing an effective lesson plan as it has a high possibility of enhancing teaching effectiveness. (shrink)

The question about evolution of consciousness has been addressed so far as possible selectional advantage related to consciousness ("What evolutionary advantages, if any, being conscious might confer on an organism ? "). But evidencing an adaptative explanation of consciousness has proven to be very difficult. Reason for that being the complexity of consciousness. We take here a different approach on subject by looking at possible selectional advantages related to the performance of Self Awareness that appeared during evolution millions of years (...) before consciousness as we know it for humans. The interest of such an approach is that the analysis of selectional advantage is done at an evolution step sigificantly simpler that the step of Human Consciousness. We analyse how evolutionary advantages have resulted from this specific Self Awareness step. This is done by taking into consideration the possibility for a subject to identify with a conspecific at this level of evolution. We use the results made available by Mirror Neuron researchs where intersubjectivity and some level of identification with conspecifics have been evidenced for non human primates. Selectional advantages related to Self Awareness are analysed two ways: - Reformulating the performances of imitation and of development of language. - Showing that Self Awareness within group life can naturaly produce an important increase in fear/anxiety for a subject, and that the means implemented by the subject to overcome this fear/anxiety can act as significant evolution advantages opening the road to Human Consciousness. Such approach brings new elements supporting the view that consciousness is grounded in emotions. It also proposes some more evolutionist explanations to the widely dicussed subject of Empathy (S. Preston & F. de Waal) in terms of specific behaviour implemented to limit fear/anxiety increase. This approach also provides some explanation for limited anxiety within dolphins and introduces a basis for a possible phylogenesis of emotions. (shrink)

Verbal fluency tasks are often used in neuropsychological research and may have predictive and diagnostic utility in psychiatry and neurology. However, researchers using verbal fluency have uncritically assumed that there are no category-or phoneme-specific effects on verbal fluency performance. We recruited 16 healthy young adult subjects and administered two semantic (animals, trees) and phonemic (K, M) fluency tasks. Because of the small sample size, results should be regarded as preliminary and exploratory. On the animal compared to the tree task, subjects (...) produced significantly more legal words, had a significantly lower intrusion rate, significantly shorter first-response latencies and final silence periods, as well as significantly shorter between-cluster response latencies. These differences may be explained by differences in the category sizes, integrity of the categories’ borders, and efficiency of the functional connectivity between subcategories. On the K compared to the M task, subjects produced significantly more legal words and had significantly shorter between-cluster response times. Counterintuitively, a corpus analysis revealed there are more words starting with ⟨m⟩ compared to ⟨k⟩ in the experimental language. Our results potentially have important implications for research utilizing verbal fluency, including decreased reproducibility, questionable reliability of diagnostic and predictive tools based on verbal fluency, decreased knowledge accumulation, and increased number of publications with potentially misleading clinical interpretations. (shrink)

If language is to serve the basic purpose of communicating our attitudes, we must be constructed so as to form beliefs in those propositions that we truthfully assert on the basis of careful assent. Thus, other things being equal, I can rely on believing those things to which I give my careful assent. And so my ability to assent or dissent amounts to an ability to make up my mind about what I believe. This capacity, in tandem with a (...) similar capacity in respect of other attitudes, supports three important lessons. It means that I can know what I believe by seeing what commands my assent, that I can put aside the possibility of error in committing myself to holding such a belief, and that I can therefore perform as a person: I can organize my mind around commitments to which others are invited to hold me. (shrink)

The use of language models in Web applications and other areas of computing and business have grown significantly over the last five years. One reason for this growth is the improvement in performance of language models on a number of benchmarks — but a side effect of these advances has been the adoption of a “bigger is always better” paradigm when it comes to the size of training, testing, and challenge datasets. Drawing on previous criticisms of this paradigm (...) as applied to large training datasets crawled from pre-existing text on the Web, we extend the critique to challenge datasets custom-created by crowdworkers. We present several sets of criticisms, where ethical and scientific issues in language model research reinforce each other: labour injustices in crowdwork, dataset quality and inscrutability, inequities in the research community, and centralized corporate control of the technology. We also present a new type of tool for researchers to use in examining large datasets when evaluating them for quality. (shrink)

Speakers live language, that is, they intuit, create, acquire, perform, speak and say, interpret, use, evaluate and, even, speak of language. The real language is the language lived by speakers. On the contrary linguists, who at the same time are speakers and linguists, study language as something manifesting of front of them. In order to study language it is necessary to determine the degree of reality of the thing called language as the reality (...) lived and used by speakers. (shrink)

Some embodied theories of concepts state that concepts are represented in a sensorimotor manner, typically via simulation in sensorimotor cortices. Fred Adams (2010) has advanced an empirical argument against embodied concepts reasoning as follows. If concepts are embodied, then patients with certain sensorimotor impairments should perform worse on categorization tasks involving those concepts. Adams cites a study with Moebius Syndrome patients that shows typical categorization performance in face-based emotion recognition. Adams concludes that their typical performance shows that embodiment is false. (...) Moebius patients must draw on amodal (non-embodied) emotion concepts. In this paper, I review face-based emotion recognition studies with Moebius patients yielding conflicting results and diagnose these conflicts as a difference in experimental design. When emotion labels are provided, patients have typical performance, but when labels are not provided patients are severely deficient. I then show how an embodied, psychological constructionist view of emotions predicts and explains these performance differences. The upshot is that embodied theories of concepts are vindicated. (shrink)

I want to know whether Chan masters and students depicted in classical Chan transmission literature can be interpreted as asking open (or what I will call “genuine”) questions. My task is significant because asking genuine questions appears to be a decisive factor in ascertaining whether these figures represent models for dialogue—the kind of dialogue championed in democratic society and valued by promoters of interreligious exchange. My study also contributes to a more comprehensive understanding of early Chan not only by detailing (...) contrasts between contemporary interests and classical Chan, but more importantly by paying greater attention to the role language and rhetoric play in classical Chan. What roles do questions play in Chan encounter dialogues, and are any of the questions genuine? Is there anything about the conventions of the genre that keeps readers from interpreting some questions in this way? To address these topics, I will proceed as follows. First, on a global level and for critical-historical context, I survey Chan transmission literature of the Song dynasty in which encounter dialogues appear, and their role in developments of Chan/Zen traditions. Second, I zoom in on structural elements of encounter dialogues in particular as a genre. Third, aligning with the trajectory of performative analyses of Chan literature called for by Sharf and Faure, I turn to develop and criticize a performative model of questions from resources in recent analytic and continental philosophy of language and I apply that model to some questions in encounter dialogue literature. (shrink)

The appearance of openly accessible Artificial Intelligence Applications such as Large Language Models, nowadays capable of almost human-level performances in complex reasoning tasks had a tremendous impact on public opinion. Are we going to be "replaced" by the machines? Or - even worse - "ruled" by them? The behavior of these systems is so advanced they might almost appear "alive" to end users, and there have been claims about these programs being "sentient". Since many of our relationships of power (...) and social dominance are apparently based on intelligence, where the "smarter" seems to prevail on the "dumber" (as we see for example with livestock farming, or with the distribution of salaries according to formal and intellectual qualifications etc.) the emergence of programs and AI applications of this level of sophistication brings us to the question "what will AI do to us?". Our error is to frame Artificial Intelligence in the same way we frame Natural Intelligence and mistakenly address it as we would do with biological life, even applying to it the same biopolitical categories. We here try to reverse the common arguments in relationship between life and intelligence and show that our progresses in Artificial Intelligence might have no immediate consequence for the topic of life as such, as life and intelligence are well separated issues, and - even when we would like to somehow fuse them together, we are very far away from having an "Artificial Life" to the degree of complexity and effectiveness we have with "Artificial Intelligence". (shrink)

Learning a second language is always a difficult task and so, children is given the task to do it in the elementary stage. It depends on various factors and combining that factors the result comes on. A favorable outcome results in when the teachers devote themselves to teach the younger the Achilles task as soon as possible. Sometimes the result become satisfactory but most of the time it doesn’t happen. And because of this reason, technological use on this teaching (...) should be performed after actually realizing in which pattern it will be most effective. The research on this matter should be applied to singular aged number of people. So, this research paper is based on Elementary level entered students’ characteristic of accepting vastly used English as a second language. The specific arena here selected is Bangladesh. Bangladesh is a developing country and recently, it has promoted to low profit country than under-developed country. Thus, it is very much in need to determine which technologies are of most value when it is applied to the system getting English learned by the elementary levelled entering students. Search the number learners of English are in the increasing percentage, mass of the newly developed tools are implemented on this English learning teaching system. (shrink)

Does the capacity to think require the capacity to sense? A lively debate on this topic runs throughout the history of philosophy and now animates discussions of artificial intelligence. Many have argued that AI systems such as large language models cannot think and understand if they lack sensory grounding. I argue that thought does not require sensory grounding: there can be pure thinkers who can think without any sensory capacities. As a result, the absence of sensory grounding does not (...) entail that large language models cannot think or understand. I also consider to what extent quasi-sensory grounding can at least boost the performance of a language model. (shrink)

Digital Literacy (DL) is defined as the ability to use information and communication technology to communicate with cognitive and technical skills. One of the Digital Literacy is Mobile-Assisted Language Learning (MALL) or mobile phones-based language learning. Merits of this study are worthy of helping learners easier understand the language learning materials presented by either guided face to face in the classroom or self-learning out of the school. The study used experimental and control classes to compare the results (...) that the significance of Mobile-Assisted Language Learning in learning language could be prescribed. Refer to the initial students’ ability, this study designed pre and post-test for the experiment. Furthermore, participants were 40 students of second-year students at the English Education Department. Same topics were taught for experiment and control class in alter methods. The results claimed that the using post-test of MALL had merits on improving experimental group more than control group performance. The results declared that using MALL would encourage students learning activities such as self-language learning, enriching vocabulary, promoting teacher’s pedagogic, student’s cognitive, writing skill, reading comprehension, speaking, grammar and listening skill. Lastly, this paper implied MALL as a reference for future curriculum and material development. (shrink)

We assess the state of thinking about gender identities in computer vision through an analysis of how research papers in gender and facial recognition are designed, what claims they make about trans and non-binary people, what values they espouse, and what they describe as ongoing challenges for the field. In our corpus of 50 research papers, the seven papers that consider trans and non-binary identities use questionable assumptions about medicalization as a measure of transness, about gender transition as a linear (...) and bounded process, and about the concept of gender deception. Otherwise, non-normative gender identities are absent and their consideration is in fact hindered by prevailing research values, particularly deeply embedded ones such as performance and accuracy. We point out how the use of shared datasets calcifies binary conceptions of gender. In the way that the field of computer vision conceives of ongoing challenges for its research, it does not yet face questions that trans and non-binary user experiences pose and often falls back on biologically essentialist notions of sex classification. We make two recommendations: that computer vision researchers undertake interdisciplinary work with researchers who study gender as a socio-cultural phenomenon, and that journal editors and conference organizers do the same in peer review and conference acceptance processes. (shrink)

Some students who possess the same cognitive skill set as their counterparts but who neither speak nor write English fluently have to contend with an unnecessary barrier to academic success. While an administrative top-down approach has been in progress for many years to address this issue, enhancement of student performance begins in the classroom. Thus, we argue that instructors ought to implement a more organic bottom-up approach. If it is possible for instructors to make class content available in other languages, (...) such as Spanish, without thereby compromising something of comparable pedagogical value, then they ought to do so. In fact, we provide here Anselm’s Ontological Argument rendered in Spanish to show how, when translated, it provides native Spanish speakers with greater accessibility to difficult material. Then, we consider the possible beneficial implications of doing so for university students. (shrink)

Descartes famously constructed a language test to determine the existence of other minds. The test made critical observations about how humans use language that purportedly distinguishes them from animals and machines. These observations were carried into the generative (and later biolinguistic) enterprise under what Chomsky in his Cartesian Linguistics, terms the “creative aspect of language use” (CALU). CALU refers to the stimulus-free, unbounded, yet appropriate use of language—a tripartite depiction whose function in biolinguistics is to highlight (...) a species-specific form of intellectual freedom. This paper argues that CALU provides a set of facts that have significant downstream effects on explanatory theory-construction. These include the internalist orientation of linguistics, the invocation of a competence-performance distinction, and the postulation of a generative language faculty that makes possible—but does not explain—CALU. It contrasts the biolinguistic approach to CALU with the recent wave of enthusiasm for the use of Transformer-based Large Language Models (LLMs) as tools, models, or theories of human language, arguing that such uses neglect these fundamental insights to their detriment. It argues that, in the absence of replication, identification, or accounting of CALU, LLMs do not match the explanatory depth of the biolinguistic framework, thereby limiting their theoretical usefulness. (shrink)

We describe a method, based on Jennifer Nado’s proposal for classification procedures as targets of conceptual engineering, that implements such procedures by prompting a large language model. We apply this method, using data from the Wikidata knowledge graph, to evaluate stipulative definitions related to two paradigmatic conceptual engineering projects: the International Astronomical Union’s redefinition of PLANET and Haslanger’s ameliorative analysis of WOMAN. Our results show that classification procedures built using our approach can exhibit good classification performance and, through the (...) generation of rationales for their classifications, can contribute to the identification of issues in either the definitions or the data against which they are being evaluated. We consider objections to this method, and discuss implications of this work for three aspects of theory and practice of conceptual engineering: the definition of its targets, empirical methods for their investigation, and their practical roles. The data and code used for our experiments, together with the experimental results, are available in a Github repository. . (shrink)

This study focused on determining the attitudes and academic performance of engineering students in Technological University of the Philippines-Manila. A total of 139 male engineering and 47 female engineering students were the respondents of the study. This only dwell on the attitude in learning English Language Vocabulary in terms of their behavioral aspects, cognitive aspects, and emotional aspects. This is a quantitative study utilized by descriptive and inferential method as the research design. Based on the findings, academic grades strongly (...) correlate with their attitude in learning English vocabulary which is a negative correlation coefficient in all its components with r value of -0.3695 in behavioral, -0.5261 in Cognitive, and -0.4332 in emotional aspect. Their P values is less than .00001 which is significant at p<0.05. Thus, the null hypothesis where there is no significant relationship between their ALEV and academic performance is rejected. The researcher recommends that teachers should enhance creativity in teaching vocabulary which inculcate the positive attitudes and motivation towards learning process. Teachers and parents should encourage the learners to read and watch educational related materials. (shrink)

Objective. Conceptualization of the definition of space as a semantic unit of language consciousness. -/- Materials & Methods. A structural-ontological approach is used in the work, the methodology of which has been tested and applied in order to analyze the subject matter area of psychology, psycholinguistics and other social sciences, as well as in interdisciplinary studies of complex systems. Mathematical representations of space as a set of parallel series of events (Alexandrov) were used as the initial theoretical basis of (...) the structural-ontological analysis. In this case, understanding of an event was considered in the context of the definition adopted in computer science – a change in the object properties registered by the observer. -/- Results. The negative nature of space realizes itself in the subject-object structure, the components interaction of which is characterized by a change – a key property of the system under study. Observer’s registration of changes is accompanied by spatial focusing (situational concretization of the field of changes) and relating of its results with the field of potentially distinguishable changes (subjective knowledge about «changing world»). The indicated correlation performs the function of space identification in terms of recognizing its properties and their subjective significance, depending on the features of the observer`s motivational sphere. As a result, the correction of the actual affective dynamics of the observer is carried out, which structures the current perception of space according to principle of the semantic fractal. Fractalization is a formation of such a subjective perception of space, which supposes the establishment of semantic accordance between the situational field of changes, on the one hand, and the worldview, as well as the motivational characteristics of the observer, on the other. -/- Conclusions. Performed structural-ontological analysis of the system formed by the interaction of the perceptual function of the psyche and the semantic field of the language made it possible to conceptualize the space as a field of changes potentially distinguishable by the observer, structurally organized according to the principle of the semantic fractal. The compositional features of the fractalization process consist in fact that the semantic fractal of space is relevant to the product of the difference between the situational field of changes and the field of potentially distinguishable changes, adjusted by the current configuration of the observer`s value-needs hierarchy and reduced by his actual affective dynamics. (shrink)

Wittgenstein’s comment that what can be shown cannot be said has a special resonance with visual representations of power in both Heavy Metal and Fundamentalist Christian communities. Performances at metal shows, and performances of ‘religious theatre’, share an emphasis on violence and destruction. For example, groups like GWAR and Cannibal Corpse feature violent scenes in stage shows and album covers, scenes that depict gory results of unrestrained sexuality that are strikingly like Halloween ‘Hell House’ show presented by neo-Conservative, Fundamentalist Christian (...) churches in the southeastern United States’ ‘Bible Belt’. One group may claim to celebrate violence, the other sees violence as a tool to both encourage ‘moral’ behaviour, and to show that the Christian church is able to ‘speak the language’ of young people who are fans of metal, gore, and horror. Explicit violence, in each case, signifies power relationships that are in transformation. Historically, medieval morality plays and morality cycles had been used as a pedagogical tool. In the modern-day context of fundamentalist religious education, these Hell House performances seek to exclude outsiders and solidify teen membership in the Christian community. Hell House performances are marketed to the young church members, and are seen as a way to reinvigorate conservative Fundamentalist Christianity. Women and girls routinely take part in, and often organize Hell House events. In the context of heavy metal, violent performances do not seek to exclude, but provide an outlet for a variety of socially unacceptable or unpopular feelings. In each context there is an apparent, if not actual, empowering of women who are willing to play particular kinds of roles. The use of violence and gore has a value beyond merely shocking the audience, it is arguably a way that some women find their voice, both for fundamentalist Christians and fundamentalist gore metal fans. (shrink)

Text classification is one of the most important task in natural language processing, In this research, we carried out several experimental research on three (3) of the most popular Text classification NLP classifier in Convolutional Neural Network (CNN), Multinomial Naive Bayes (MNB), and Support Vector Machine (SVN). In the presence of enough training data, Deep Learning CNN work best in all parameters for evaluation with 77% accuracy, followed by SVM with accuracy of 76%, and multinomial Bayes with least performance (...) of 69% accuracy. CNN has the best performance in the presence of large enough training dataset because of the presence of filter/ kernels which help to indentify patterns in text data regardless of their position in the sentence. We repeated the training again with just one-third of our data, at this point SVM comes with the best performance, the performance of CNN noticeably drops but still better than Multinomial Naive Bayes, the reason why SVM works best when we reduce the training data was because of its ability to look for a hyper-plane that creates a boundary between different classes of data so as to properly classify them, so we believed that getting the hyper-plane was more efficient when we reduce the dataset, hence reason for the good performance. Multinomial Naive Bayes have the least performance which we attributed to its assumption of independency between the features which sometimes does not hold true. We concluded that availability of data should be an important factor when choosing classifier for Natural Language Processing Text Classification task. CNN should be use in the presence of enough dataset, and SVM should be use when data is not enough. Multinomial Naive Bayes must not be trusted with state of the art NLP task due to its assumption of independency between the features . (shrink)

The main objective of the research was to assess the relationship between instructional practices of teachers on students’ academic performancein English. To achieve this aim, the researcher selectedAssistant Language Teachers (ALTs)and public secondary students in Okinawa Prefectureas respondents of the study during the school year 2020-2021. The primary data gathering tools used in the study was a standardized questionnaire Instructional Practices Survey adopted from Valentine (2000) on determining teachers’ instructional practices and a documentary analysisto determine the point average of (...) the respondents’ level of academic performancein English. The collected data were analyzed and treated statisticallywith theuse of Statistical Packages for Social Sciences (SPSS). Results revealed that there is a positive strong correlation between instructional practices andthe students’ academic performance in English as evidenced by .853 correlation coefficient. Findings indicate that a high level of instructional practices among teachers contribute to the increase of academic performance of students in English. The study recommended that school principals may conduct frequent teachers’ assessment, training needs assessment to maintain this status -focusing on the needs of teachers in terms of their professional growth and development, and continuous monitoring of students endeavors. (shrink)

By observing the mediating role of Pomarańczowa Alternatywa [Orange Alternative], the Polish artistic-activist formation of the 80s and 90s, this paper aims to determine the properties, values and ideals that make a piece of art a public act that can engage people from different social groups in play, and can allow them to reveal their self-determining agency in light of social change. Within the system of varying degrees of social permission, art should allow for the transition from the realm of (...) the “unofficial” to the realm of the “forbidden,” and should facilitate a transformation from the realm of thought to the realm of action. Art introduces an element of play into the sphere of collective behavior, and is a bridge over dichotomous social and political forces. (shrink)

Sam Berstler has recently argued for a fairness-based moral difference between lying and misleading. According to Berstler, the liar, but not the misleader, unfairly free rides on the Lewisian conventions which ground public-language meaning. Although compelling, the pragmatic and metasemantic backdrop within which this moral reason is located allows for the generation of a vicious explanatory circle. Simply, this backdrop entails that no speaker has ever performed an assertion. As I argue, escaping the circle requires rejecting Berstler’s fairness-based reason (...) against lying. The problem is a general one: the wrong of lying cannot be founded on the goods of language. (shrink)

The experience of embarrassment was explored in two experiments comparing monolingual and bilingual speakers from cultures varying in the degree of elabo- ration of the embarrassment lexicon. In Experiment 1, narratives in English or Korean depicting three types of embarrassing predicaments were to be rated on their embarrassability and humorousness by Korean-English bilinguals, Korean monolinguals, and Euro-American monolinguals. All groups judged certain predicaments (involving social gaffes) to be the most embarrassing. However, significant group and language differences occurred in judgments (...) of the inten- sity of embarrassment and amusement judgments evoked. Euro-Americans ex- hibited higher overall levels of amusement than the two Korean groups who, in turn, reported higher levels of embarrassment, particularly for certain predica- ment types and contexts (ingroup members present). Further, for the bilinguals, inept performance predicaments in English were judged more embarrassing than those in Korean, whereas all predicament types were judged more amusing when framed with English emotion labels. Bilinguals also appeared to show a heightened embarrassability relative to both monolingual groups. Experiment 2 found lexical selection differences in open-ended responses to embarrassing predicaments depicted in each language, with Euro-Americans preferring to give justifications or use humor to minimize the embarrassment and Korean-English bilinguals preferring to give apologies or say nothing. The findings are interpret- ed to reflect the influence of culturally-mediated schemas guiding the activation and processing of emotion vocabulary. (shrink)

It is pretty obvious that language and human consciousness entertain tight relations. We could not really be conscious of ourselves without the possibility to say “I” or “me”. And language is a key contributor in our capability to identify ourselves as conscious entities existing in the environment. But the relations linking language and consciousness are complex and difficult to analyze. Evolutionary origins of language are unknown as no fossil traces have been left by our ancestors. Sciences (...) of consciousness however begin to make available some possible evolutionary scenarios about the nature of human consciousness. We want here to propose a link between language and consciousness by using such an evolutionary scenario and also introduce the usage of a systemic approach to meaning generation. In the first part of the presentation we will use an existing scenario about the evolutionary nature of self-consciousness where the development of language has a role (1). We will highlight this role in order to identify language and self-consciousness as inter-dependant in their nature through a possible common evolutionary origin. Self-consciousness and language could then be considered as tightly inter-dependant through a common build up of human nature during evolution. The scenario presents an evolutionary nature of self-consciousness as resulting of the capability for pre-human primates to identify with their conspecifics (1, 2). The conspecifics are represented as existing in the environment, and such identification brought our pre-human ancestors to consider themselves as also existing in the environment. The scenario takes this event as being a first step for a conscious self-representation within pre-human primates, which progressively evolved toward our today human consciousness (3). But such identification with conspecifics was not for free at times of survival of the fittest. Identifying with conspecifics meant for our pre-human ancestor to also identify with their sufferings or encountered dangers. These came in addition to the dangers or sufferings naturally encountered and created a significant anxiety increase (1). The resulting level of anxiety had to be limited. One possibility for that was to develop psychological or physical tools that could have reduced the risks of occurrences and developments of such dangers and sufferings. Among these tools is the performance of language which can induce significant evolutionary advantages. We will propose a first scheme about how these evolutionary advantages could have reduced the dangers and sufferings encountered by our pre-human ancestors. We will also show how the development of language produced by itself a positive feedback on the development of inter-subjectivity in the evolutionary scenario, and so participated directly to the development of human consciousness. Other evolutionary advantages have existed like the development of imitation and synergy through experience (4). Language played a role there also, and has to be taken into account. The second part of the presentation will propose the usage of an existing systemic approach to meaning generation in terms of constraints satisfaction (5, 6). Constraints for pre-human primates, ranging from a basic “stay alive” to highly elaborated “limit anxiety”, were source of multiple meaning generations in which language has played (and still plays) a key role. Several continuations will be proposed linked to the here above thread on a co-evolutions of language and human consciousness, as based on the evolutionary scenario. (shrink)

Extant research on home literacy practices such as parental reading socialisation have demonstrated positive impacts on children in terms of academic performance. A particular aspect that sparks pedagogic importance is the scaffolding potential of reading at home to the learning of English language in non-native English Language contexts. This study aimed to examine the effects of mother’s involvement in home- reading sessions on students’ English reading skill performance in Bau, Sarawak. Prior to carrying out the intervention of reading (...) at home with their children, 31 mothers of Bidayuh ethnicity voluntarily attended a one-day workshop to orient them to the intervention and the use of logbooks to record details of their shared readings. However, only 18 mothers conducted reading sessions with their children and submitted a total of 21 logbooks detailing the frequency and material selection for reading. Their children, consisting of primary 1 to 4 students were required to sit for a pre-test and a post-test that measure their English language reading proficiency. The test scores were analysed using the paired-sample T-test. There was a significant increase in the students’ post-test scores following the reading intervention. The results revealed that despite the low frequency of mother-child shared reading sessions, the sessions positively affected the students’ reading performance. This finding suggests that parental reading socialisation can facilitate students’ literacy development. However, the use of materials in Bidayuh as a native language as opposed to Malay or English may increase the rural parents’ participation in home-literacy activities, and encourage early literacy in children. (shrink)

Text classification is one of the most important task in natural language processing, In this research, we carried out several experimental research on three (3) of the most popular Text classification NLP classifier in Convolutional Neural Network (CNN), Multinomial Naive Bayes (MNB), and Support Vector Machine (SVN). In the presence of enough training data, Deep Learning CNN work best in all parameters for evaluation with 77% accuracy, followed by SVM with accuracy of 76%, and multinomial Bayes with least performance (...) of 69% accuracy. CNN has the best performance in the presence of large enough training dataset because of the presence of filter/ kernels which help to indentify patterns in text data regardless of their position in the sentence. -/- We repeated the training again with just one-third of our data, at this point SVM comes with the best performance, the performance of CNN noticeably drops but still better than Multinomial Naive Bayes, the reason why SVM works best when we reduce the training data was because of its ability to look for a hyper-plane that creates a boundary between different classes of data so as to properly classify them, so we believed that getting the hyper-plane was more efficient when we reduce the dataset, hence reason for the good performance. Multinomial Naive Bayes have the least performance which we attributed to its assumption of independency between the features which sometimes does not hold true. We concluded that availability of data should be an important factor when choosing classifier for Natural Language Processing Text Classification task. CNN should be use in the presence of enough dataset, and SVM should be use when data is not enough. Multinomial Naive Bayes must not be trusted with state of the art NLP task due to its assumption of independency between the features. (shrink)

The immediate purpose of this article is to examine Hannah Arendtʼs analysis of Adolf Eichmann in order to point out the groundlessness of her argument that evil, whether in the person of Eichmann himself or in general, can be treated as banal. The wider purpose of this article is to divest any argument that is based on the concept that evil is banal, ordinary, or trivial of any valid grounding. To develop the immediate purpose, the article begins with a close (...) analysis of the word ‘banal’ in the context of discussions of evil to highlight the immense (and dangerous) power of language. It discusses plausible reasons for Arendt’s choice of ‘The Banality of Evil’ as part of the subtitle of her book Eichmann in Jerusalem. It then addresses two major questions: How did Arendt obtain the impression of the banality of Adolf Eichmann in the first place? What are the consequences of considering evil as trivial? The argument is made that Arendt communicated, regardless of her intention, that evil was trivial. Moreover, Arendt’s description of evil as banal and trivial directly contradicts evidence that Arendt presented in Eichmann in Jerusalem. The article then turns to address the widespread adoption of Arendt’s account in the prominent literature on Eichmann and the Holocaust as a ‘thoughtless’ move, pointing out that this is precisely the kind of perverse account of evil that such subtle and evil mind as Eichmann’s would want us to entertain. To introduce its wider purpose, the article concludes with a discussion of the pernicious consequences of equating evil with banality and of the need to abandon definitively this point of view. The argument is made that ordinariness is not and should never be an excuse for crime, for doing so is akin to inviting evil into our homes and shrugging our shoulders upon its entrance. (shrink)

Due to how fast life moves these days, most parents forget to keep an eye on their children’s development and math skills as early as 4 years old. The role of child care is very important to enhance quality assurance practices among staff for the development of future leaders. The main objective of this study is to determine the strength of the relationships between each element and arithmetic proficiency among Malaysian TASKA children. This study is significant to identify the primary (...) factors that influence children’s math skills. A questionnaire was utilized to collect data. From 376 TASKAs registered in Malaysia, only 103 of the 458 selected centers provide care and instruction for children aged 36 to 48 months. Between the ages of 36 and 46 months, language, communication, and early reading skills account for the majority of a child’ s mathematical ability. Therefore, an effective training module should be built on these characteristics. The upcoming study will compare all unregistered TASKA facilities to the facilities that have been registered throughout Malaysia. (shrink)

Many students at the secondary and even tertiary levels of education in Nigeria still perform lamentably poor in English both in examinations and even in daily usage. This has queried the quality of teachers of English and their teaching. Many teachers of English have the requisite qualifications and, possibly, experience to teach English in public schools, at least. However, students still perform poorly in English. Therefore, there is a need to examine other qualities, which teachers are expected to have from (...) the perspective of teacher educators, and post-secondary school students. Using the survey research design, data were collected through a semi-structured questionnaire. The participants were 33 purposively selected secondary school graduates and 24 College of Education lecturers. The lecturers were participants at a UNICEF-sponsored workshop for teacher trainers in Nigeria. They were from five states in South-Western Nigeria. A thematic analysis and frequency counts showed that the most frequent qualities participants expected of teachers of English Language were professional and pedagogical skills, relational skills, communication skills and ethical behaviour. (shrink)

The method of supergrading is introduced for deriving a ranking of items from scores or grades awarded by several people. Individual inputs may come in different languages of grades. Diversity in grading standards is an advantage, enabling rankings derived by this method to separate more items from one another. A framework is introduced for studying grading on the basis of observations. Measures of accuracy, reliability and discrimination are developed within this framework. Ability in grading is characterized for individuals and groups (...) as the capacity to grade reliably, accurately and at a high level of discrimination. It is shown that the collective ability of a supergrading group with diverse standards can be greater than that of a less diverse group whose members have greater ability. (shrink)

Why do we draw the boundaries between “blue” and “green”, where we do? One proposed answer to this question is that we categorize color the way we do because we perceive color categorically. Starting in the 1950’s, the phenomenon of “categorical perception” (CP) encouraged such a response. CP refers to the fact that adjacent color patches are more easily discriminated when they straddle a category boundary than when they belong to the same category. In this paper, I make three related (...) claims. (1) Although what seems to guide discrimination performances seems to indeed be categorical information, the evidence in favor of the fact that categorical perception infl uences the way we perceive color is not convincing. (2) That CP offers a useful account of categorization is not obvious.While aiming at accounting for categorization, CP itself requires an account of categories. This being said, CP remains an interesting phenomenon. Why and how is our discrimination behavior linked to our categories? It is suggested that linguistic labels determine CP through a naming strategy to which participants resort while discriminating colors. This paper’s fi nal point is (3) that the naming strategy account is not enough. Beyond category labels, what seems to guide discrimination performance is category structure. (shrink)

What can contemporary machine learning (ML) models do? Given the proliferation of ML models in society, answering this question matters to a variety of stakeholders, both public and private. The evaluation of models' capabilities is rapidly emerging as a key subfield of modern ML, buoyed by regulatory attention and government grants. Despite this, the notion of an ML model possessing a capability has not been interrogated: what are we saying when we say that a model is able to do something? (...) And what sorts of evidence bear upon this question? -/- In this paper, we aim to answer these questions, using the capabilities of large language models (LLMs) as a running example. Drawing on the large philosophical literature on abilities, we develop an account of ML models' capabilities which can be usefully applied to the nascent science of model evaluation. Our core proposal is a conditional analysis of model abilities (CAMA): crudely, a machine learning model has a capability to X just when it would reliably succeed at doing X if it 'tried'. The main contribution of the paper is making this proposal precise in the context of ML, resulting in an operationalisation of CAMA applicable to LLMs. We then put CAMA to work, showing that it can help make sense of various features of ML model evaluation practice, as well as suggest procedures for performing fair inter-model comparisons. (shrink)

The problem considered in this chapter emerges from the tension we find when looking at the design and architecture of chatbots on the one hand and their conversational aptitude on the other. In the way that LLM chatbots are designed and built, we have good reason to suppose they don't possess second-order capacities such as intention, belief or knowledge. Yet theories of conversation make great use of second-order capacities of speakers and their audiences to explain how aspects of interaction succeed. (...) As we can all bear witness to now though, at the point of use chatbots appear capable of performing language tasks at a level close to that of humans. This creates a tension when we consider something like, for example, the classic Gricean theory of implicature. On a broad summary of this type of account, to utter p and implicate q requires the reflexive occurrence of an audience supposing a speaker believes that q, and the speaker believing that their audience can determine they believe it when they utter p. So taken at face value, if a chatbot doesn’t have the capacity for belief, then either in their role as speaker or audience, they would not seem capable of either generating or comprehending implicatures. Yet on the surface it does seem that chatbots are capable of dealing with (some) implicatures, and as such it raises questions about how we should then correlate this with what we think occurs in cases of implicature with chatbots. (shrink)

In ‘Other Minds’, J.L. Austin advances a parallel between saying ‘I know’ and saying ‘I promise’: much as you are ‘prohibited’, he says, from saying ‘I promise I will, but I may fail’, you are also ‘prohibited’ from saying ‘I know it is so, but I may be wrong’. This treatment of ‘I know’ has been derided for nearly sixty years: while saying ‘I promise’ amounts to performing the act of promising, Austin seems to miss the fact that saying ‘I (...) know’ fails to constitute a performance of the act of knowing. In this paper, I advance a defense of Austin’s position. I diagnose the principal objections to Austin’s account as stemming from detractors’ failure to acknowledge: (1) that Austin never characterizes ‘I know’ as a pure performative; (2) that saying ‘I know p’, unlike simply knowing p, occurs in specific interpersonal contexts in which others rely on our knowledge claims; (3) Austin’s considered account of the felicity conditions of performative utterance; (4) Austin’s ultimate repudiation of the performative/constative distinction. I conclude that Austin’s treatment of ‘I know’ rests on a more general commitment to the intrinsically normative nature of ordinary language. (shrink)

Cyberspeak, the language of cybernetics, or its metalanguage to be more precise, consists of words that are both explaining and describing human/animal and machine forms of control and communication, while in newspeak, words were value-laden, which means they had strong positive or negative connotations connected to their use. For example, a 'spy' could only be a foreign agent, while a Russian one was a 'patriot'. First, it will be shown how there are still remnants of cyberspeak in modern science, (...) pinpointing its cybernetic background and shaping our thoughts without us realizing they had any cybernetic origin whatsoever. Second, it will be investigated how newspeak, as its counterpart, can be analyzed from the theory of speech acts. Third, the current war in Ukraine allowed us a brief analysis of newspeak present in Russian public communication today (Putin's speeches), which will again be connected to their performative aspect. (shrink)

Quilty-Dunn et al. argue that deep convolutional neural networks (DCNNs) optimized for image classification exemplify structural disanalogies to human vision. A different kind of artificial vision – found in reinforcement-learning agents navigating artificial three-dimensional environments – can be expected to be more human-like. Recent work suggests that language-like representations substantially improves these agents’ performance, lending some indirect support to the language-of-thought hypothesis (LoTH).

This paper is based on Ludwig Wittgenstein's (late) teaching on language and meaning, and its aim is to show how we can avoid the anthropomorphization of artificial intelligence or interpreting the work (the question of giving meaning) of AI as similar to or the same as the work of a human being. The way of determining the meaning of certain linguistic units performed by an AI and a human differs because the languages they operate with have a different set (...) of rules or criteria that are indicators of what a certain linguistic entity means. The core of AI in terms of meaning is its logical base, according to which it operates/calculates/manipulates the given information. On the other hand, a human being finds his/her criteria in the language activity performed in the language communities. (shrink)

The subject matter of this work covers the issues or problems listed below: * The problem of the ontological status of language signs and a more general philosophical problem connected with it: * What is language as a system of signs, which – on the one hand – serves to: 1) represent our knowledge about the reality which is being recognized, and, on the other one to: 2) a. explore and better cognize or discover it, b. describe it (...) in an adequate manner, and c. enable users to make interpersonal communication? All the pragmatic functions of language require carrying out its logical-philosophical analysis, and this means both regarding its syntax and semantics. Such an analysis is not possible without determining the following: How are signs perceived and what is their ontological nature in the so-called functional approach towards logical semiotics of natural language, founded on two ways of their usage: either as signs which we use in concrete situational or situational-language contexts or as isolated signs detached from such contexts? In the first case, they are language tokens (concretes), existing material objects perceived through the senses, with a fixed temporal-spatial location, in the other one – they are non-concretes and as such (as the majority of researchers in the field of philosophy and linguistics accept) – abstract objects, language types. The type-token distinction (differentiation between abstract and concrete) has already acquired a certain status in contemporary philosophy and is of considerable importance to metaphysics and epistemology in particular. Indeed, it is most often illustrated with reference to language signs (words, expressions) as the distinction type/token of a sign, introduced into semiotics by Ch. S. Peirce. In the semiotic analysis, and also in the linguistic one, there are used both types and tokens of signs, however, often without paying due attention to when it is said about types and when about tokens. This is related to the problems which are still considered by the philosophy of language: What is the type? What is the token (specimen)? What are the mutual relations between the type and the token? Disputes concerning providing answers to these questions are related to existential issues dealing with the ontological status of these language signs and two currents within the ontology of language, remaining under the influence of two fundamental concepts formed in the debate: nominalism and realism. The author presents in brief different stances on the above-mentioned issues or problems, as well as argues that from the logical point of view: 1) working out any theoretical conception of language must take into account its bi-aspectual characteristics: as a language of expression-tokens and as a language of expression-types; 2) advocating either of the standpoints: (a) types exist independent of their tokens, or (b) it is not so, can be omitted in syntactic considerations on language; 3) mutual relations between sign-tokens differ from the mutual relations between sign-types, yet; 4) determination of the mutual relation between sign-types and sign-tokens depends on accepting either of the standpoints: (a) or (b); 5) semantic or semantic-pragmatic concepts of language, such as meaning, denotation, interpretation should be defined exclusively for types of tokens, but their definitions require certain reference to the functions which sign-tokens perform in the language (words, expressions), or to relations between them; 6) The concept of an act of language communication differs from general language communication: the first one is defined by means of sign-tokens, whereas the other one – with the use of sign-types. (shrink)

The goal of this thesis is to model some of the cognitive structures and processes involve d in how people decide what to say in purposeful conversation. The main concern is to show how a speaker's knowledge of his/her hearer influences what s/he says. Utterances in such dialogues, where speakers can be presumed to be speaking for reasons, can best be viewed as the performance of "speech acts" (e.g., requesting). By modeling the process of deciding what to say as one (...) of problem-solving, we show that the same mechanisms used to plan non-linguistic actions are applicable to planning of speech acts. The methodology of this research employs a computer program that integrates beliefs, goals, problem-solving, and reasoning, with the use of language. The program does this by planning speech acts when it determines that to achieve its situational goals, it needs to influence someone else's behavior. The system is able to plan request speech actrions to influence its user's goals, and inform speech acts to influence his/her beliefs. In addition, it is shown that speech acts can be used to achieve subgoals of other such acts. For instance, in addition to requesting that the user perform some action, the system can also decide to supply him/her with information necessary to performing that action -- information that it believes s/he does not already have. Our model is extendable to the more general problem of planning multiparty speech acts -- ones where actions requested by the speaker involve acts to be performed by parties other than the hearer. [MORE]. (shrink)