In this paper I draw on the social intentionality hypothesis to develop an account of cognitive integration. My account sheds light on the variety of cognitive integration that has been of most interest to epistemologists by arguing that it is best understood as the intrapersonal analogue of a paradigmatically interpersonal problem. Furthermore, the intrapersonal version of the problem is solved by simulating the solution to the interpersonal version. Consequently, we better understand the intrapersonal version of the problem relevant to (...) epistemology by considering the interpersonal version. (shrink)

In recent analytic literature on the Trinity we have seen a variety of "social" models of the Trinity. By contrast there are few "non-­‐social" models. One prominent "non-­‐social" view is Brian Leftow's "Latin Trinity." I argue that the name of Leftow's model is not sufficiently descriptive in light of diverse models within Latin speaking theology. Next, I develop a new "non-­‐social" model that is inspired by Richard of St. Victor's description of a person in (...) conjunction with my appropriating insights about indexicals from David Kaplan and John Perry. I point out that the copula in tokens of statements like, "I am the Father," is an ambiguous term and when used by a certain divine person a different proposition is affirmed. Central to this model is the claim that the copula bears the "is of identity" and the "is of numerical sameness without identity." Further, I show that Leftow's model employs two concepts of "person," a Lockean one and a Boethian one, and mine employs Richard of St. Victor's. I describe Leftow's model as a "hard non-­‐social" model and mine as a "soft non-­‐social" model that is nearer to some social models. I conclude that Leftow's model is not the lone candidate among "non-­‐social" models and that the variety of "non-­‐social" models has yet to be exhausted. (shrink)

Gender studies has generated numerous questions around “neutral” forms, such as the concept of “Self”. The aim of this analysis is to highlight how “neutral” forms are central to the reiteration of the binary model and the dominance of “man2”. Historically, man is the archetype, placing his supremacy as part of the natural order of things. Inserted into this model, many thinkers have considered the male as the transcendental gender, so, elevating the masculine as universal, a-sexed and decorporealised. (...) In this way, man has convinced himself that he’s not conditioned by his masculinity and can speak for all humanity, becoming the logosthrough which he declines the rest. Man, therefore, has made himself “neutral” – both in the conceptual sense and in the grammatical structure (particularly of binary languages such as Italian) – by taking control of language. Through it, he orders and constitutes the world, developing dichotomies and signifying anatomical bodies. In this research, it is intended to work on language and the relationship between “neutral” and power, emphasizing how that relationship is central to the reproduction of the patriarchal model. Through a critical philosophical reflection, which sees a logical-linguistic and historical-processual methodological structure, the discourse of the I-neutral will be crossed, pointing out how that “neutral” is in truth male. The concluding goal will be to, through “fluid” visions, build the basis for a language that is truly neutral and ready to embrace multiplicity, without relations of domination; a language really inclusive and not a reiterator of the patriarchal model. (shrink)

Background: The funding of health care is a major challenge to governments all across the world; the UK presents a useful and illustrative case. -/- Methodology: In this article I explain why the manner in which the provision of health care in the UK is organized is fundamentally incoherent and continuing to ignore this incoherence is bound to lead to ever-greater problems. -/- Discussion: Our society must decide on its priorities; herein I do not wish to argue what these ought (...) to be, but, rather more modestly, to emphasise the system's inconsistencies. -/- Perspectives: A reorganization of the system is needed to ensure a modicum of consistency. (shrink)

How feasible are conceptual engineering projects of social concepts that aim for the engineered concept to be deployed in people's ordinary conceptual practices? Predominant frameworks on the psychology of concepts that shape work on stereotyping, bias, and machine learning have grim implications for the prospects of conceptual engineers: conceptual engineering efforts are ineffective in promoting certain social‐conceptual changes. Since conceptual components that give rise to problematic social stereotypes are sensitive to statistical structures of the environment, purely conceptual (...) change won't be possible without corresponding world change. This tradition, however, tends to ignore that concepts don't only encode statistical, but also causal information. Paying attention to this feature of concepts, I argue, shows that conceptual engineering is not only possible. There is an imperative to conceptually‐engineer. (shrink)

This paper expands upon the core concepts of Judgemental Philosophy to propose a 10-step neurocognitive model explaining the human judgement process as a multi-layered and dynamic system, from the input of sensory information to the formation and transmission of social norms. While existing studies have focused on specific aspects of judgement (e.g., implicit/explicit processing, metacognition), this model presents the entire process within a unified framework, including initial sensory encoding, implicit and explicit resonance, constructivity and coherence verification, information (...) seeking motivation (curiosity), metacognitive evaluation, memory consolidation and behavioral execution of judgement outcomes, inter-brain interaction (brain synchronization), and the final transition and transmission process into social norms. Each step is linked to relevant neurophysiological (EEG/ERP, fMRI, etc.), behavioral, and social indicators, increasing the empirical testability of the model. Empirical validation of the model will be conducted through future research. This model is expected to provide a more holistic understanding of judgement phenomena and promote interdisciplinary discussion among researchers in neuroscience, cognitive science, sociology, and philosophy. (shrink)

Human-centered explainable AI (HCXAI) advocates for the integration of social aspects into AI explanations. Central to the HCXAI discourse is the Social Transparency (ST) framework, which aims to make the socio-organizational context of AI systems accessible to their users. In this work, we suggest extending the ST framework to address the risks of social misattributions in Large Language Models (LLMs), particularly in sensitive areas like mental health. In fact LLMs, which are remarkably capable of simulating roles and (...) personas, may lead to mismatches between designers' intentions and users' perceptions of social attributes, risking to promote emotional manipulation and dangerous behaviors, cases of epistemic injustice, and unwarranted trust. To address these issues, we propose enhancing the ST framework with a fifth 'W-question' to clarify the specific social attributions assigned to LLMs by its designers and users. This addition aims to bridge the gap between LLM capabilities and user perceptions, promoting the ethically responsible development and use of LLM-based technology. (shrink)

Research in multi-agent systems typically assumes a regulative model of social practice. This model starts with agents who are already capable of acting autonomously to further their individual ends. A social practice, according to this view, is a way of achieving coordination between multiple agents by restricting the set of actions available. For example, in a world containing cars but no driving regulations, agents are free to drive on either side of the road. To prevent collisions, (...) we introduce driving regulations, insisting that everyone drives on the left hand side of the road. We accept this limitation on our freedom because it lowers the probability of a collision. -/- This paper describes AI systems that are based on the constitutive view of social practice. According to this alternative view, there are certain actions that are only available to the agent because he is participating in a practice of a certain sort. For example, you can swing a peculiarly shaped piece of wood without participating in any particular practice - but this action will only constitute a strike if you are participating in a game of baseball. I can raise my hand whenever I like, but this only counts as voting for the motion within the institution of voting. But not all the examples are from frivolous, optional or institutional activities. Sellars and Brandom argue that even the fundamental act of assertion is only possible within the context of a particular social practice: the Game of Giving and Asking for Reasons. -/- The constitutive view, which is familiar to philosophers, is relatively unknown within the AI community. -/- The central aim of this paper is to show how the constitutive view of practice can be put to use in AI applications. (shrink)

Despite iterative learning design being increasingly implemented, such approaches are often delineated by well-defined periods of design/implementation. However, second-order cybernetics, which suggests a participatory approach to learning design, involves responsively adapting learning environments to meet students’ needs, treating them as agentic participants in the classroom. In our mixed methods study, we investigate whether such a process can facilitate egalitarian participation and collaborative interactions in a technology-assisted classroom. We use the example of a graduate psychology class of 17 students and suggest (...) that adaptation of live-chat activities by a participant observer on the Reddit social media platform that supplemented the in-person lecture dynamically, using a network analysis and qualitative ethnography as a modelling facility mimicked the ongoing feedback loops of social media platforms, enabling students to use social media with a critical eye, and engage in productive collaboration. Our quantitative results present network graphs for weekly eigen centrality to understand the egalitarian nature of the network, and transitivity to understand the likelihood for collaboration between more than two agents. Our qualitative results elaborate selected Reddit posts, and weekly field notes to explain how redesigning the chat weekly helped augment lecture-based discussion with the instructor and critique of student presentations, spurring egalitarian participation through a space-place dialectic. Students also provided end-semester feedback that was analyzed using inductive coding, to design future courseware. (shrink)

The growing importance of sharing economy brought criticism with it. Can a new emerging economy be more socially engaged? Given the emergence of local forms of sharing, the current study attempts to collide the authentic socially engaged forms of sharing in the form of platforms, services, and communities from Turkey. Despite intense public attention, there have been very few studies about landscapes of sharing and caring in Turkey. This gap needs to be addressed, as Turkey has great potential. Rapid urbanisation, (...) accompanied by an increasingly young population, provides unique opportunities for scalable new services. In addition to this, there has been remarkable progress in Turkey’s entrepreneurial ecosystem in recent years. To that end, this study carried out a critical review and a thematic categorisation of sharing and caring platforms in Turkey. Based on a social model of sharing, the authors show the ecological, local, and regional values of such platforms. Key findings from the initial thematical mapping indicate regional and cultural potentials. The diversity in the monetary aspects of different platforms and how they relate to the cultural components also show the importance of a variety of assets for defining the value of sharing economy in diverse cultures. (shrink)

This research focused on creating an instructional model for social studies that combines problem-based learning with community-based learning to enhance 21st-century skills in students attending small schools. The study analyzed the effects of implementing this integrated instructional model on developing skills within the target student group. The results indicated the following points: The teaching model combines problem-solving and community involvement and has four main parts: (1) learning actively and on your own; (2) hands-on experiences connected to (...) civic duty, culture, and social life; (3) working together to share ideas; and (4) using what you've learned in real-life situations outside of school. The model consists of a five-step instructional process: (1) encountering a social studies situation, (2) integrating social studies thinking, (3) producing social studies work, (4) disseminating social studies outcomes, and (5) consolidating reflective social studies evaluation. The experimental group showed a much better improvement in 21st-century skills after the intervention compared to the control group, with results that are statistically significant at the .05 level. The experimental group demonstrated significantly greater academic achievement in social studies compared to the control group at the .05 level. The overall satisfaction of students was at its highest level with the social studies instructional model that integrates problem-based and community-based learning. (shrink)

The discovery of so-called ‘mirror neurons’ - found to respond both to own actions and the observation of similar actions performed by others - has been enormously influential in the cognitive sciences and beyond. Given the self-other symmetry these neurons have been hypothesized as underlying a ‘mirror mechanism’ that lets us share representations and thereby ground core social cognitive functions from intention understanding to linguistic abilities and empathy. I argue that mirror neurons are important for very different reasons. Rather (...) than a symmetric ubiquitous or context- independent mechanism, I propose that these neurons are part of broader sensorimotor circuits, which help us navigate and predict the social affordance space that we meet others in. To develop both the critical and positive project I analyze the interpretive choices and the debate surrounding the mirror neuron research and show how the field is marred by highly questionable assumptions about respectively motor and social cognition. The discovery of mirror neurons - and the sensorimotor circuits of which these neurons are a part – actually empirically challenge many of these tacit assumptions. Findings of sensorimotor goal representations at levels of abstraction well beyond actual sensory information and kinetic movements challenge the idea of motor cognition as primarily output production. Additionally, the focus on 3rd person mindreading of hidden mental states is misguiding the field of social cognition. Much ‘mind-reading’ seems rooted in sensorimotor representations and a developmentally primary 2nd person understanding of actions and the mental lives of others, which precisely breaks the assumed dichotomy between mind and behavior. I propose a Social Affordance model where parallel fronto-parietal sensorimotor circuits support representations not just of other people’s actions but of the overall social affordance space. It is a process that monitors concrete goals and teleological possibilities that the environment affords respectively oneself and other present agents. With this model I hypothesize that the complex spectrum of sensorimotor integrations are indeed essential not only to normal action choice calibration but also to social cognitive abilities, as the sensorimotor teleological representations let us relate to others and understand their action choices in a shared pragmatic and intentional context. (shrink)

The debates on the scientificity of social sciences in general, and sociology in particular, are recurring. From the original methodenstreitat the end the 19th Century to the contemporary controversy on the legitimacy of “regional epistemologies”, a same set of interrogations reappears. Are social sciences really scientific? And if so, are they sciences like other sciences? How should we conceive “research programs” Lakatos (1978) or “research traditions” for Laudan (1977) able to produce advancement of knowledge in the field of (...) social and human phenomena? Is the progress of knowledge in social sciences similar to the one generally observed in natural sciences? Is it possible to evaluate the relative merits of each one of these research programs? -/- These debates are important vectors of social and intellectual polarization. The historical divide between the positivist and the hermeneutics poles precedes the structure of the contemporary debate around the epistemic space of social sciences, It is not only a question of renewing the opposition between a monist view of sciences (e.g. McIntyre, 1996) and a dualistic one (e.g. Geertz, 1973) or even a trialist view of sciences (e.g. Lepenies, 1985). It is also a question of asserting dichotomies transformed into framework (including when it is a question of exceeding them): nature-culture, nomothetic-idiographic, models-narrative, structure-history, cause-reason, explanation-comprehension. -/- In this short introduction, we provide, in section 2, a first overview of this epistemological debate in social science. Section 3 proposes a different standpoint on the same questions, by introducing both ontological and methodological aspects in this basic epistemological debate. Namely, following (Hollis, 1994) oppositions of the explanation - understanding, causes - meaning, etc., types discussed in the firsts ection are comparatively examined together with oppositions of the structure - action, holism - individualism types. This allows us to discus show multi-agent design, by integrating various dimensions and standpoints in the same framework (Phan, Amblard, 2007, Chapters 1, 5, 14) can help us to shift these boundaries, and to bypass these oppositions. As model building and ontology design are at the core of this process (Phan, Amblard, 2007, Chapter 12), Section4 discusses various issues of the art of modelling, starting both from economists’ and sociologists’ current standpoints. (shrink)

This paper examines the role of the consensual model in law and argues that if substantive justice is to be the goal of law, the use of individual choice as a legal criterion for distributive and retributive purposes must be curtailed and made subject to substantive considerations. Substantive justice arguably requires that human rights to life, well-being, and the commodities essential to life and well-being, be given priority whenever a societal decision is made. If substantive justice is a collective (...) societal responsibility, the individual cannot be justly rewarded or punished for his or her choices with respect to life, well-being and essential commodities insofar as these choices are justified or excused by standards of substantive justice. Societal conditions and institutional arrangements should be recognized as grounds for justification and excuse because they may impose limits and constraints on the choices available to an individual that are as unavoidable and compelling as those imposed by chance or by another human being. (shrink)

Psychopathy is increasingly in the public eye. However, it is yet to be fully and effectively understood. Within the context of the DSM-IV, for example, it is best regarded as a complex family of disorders. The upside is that this family can be tightly related along common dimensions. Characteristic marks of psychopaths include a lack of guilt and remorse for paradigm case immoral actions, leading to the common conception of psychopathy rooted in affective dysfunctions. An adequate portrait of psychopathy is (...) much more complicated, however. Though some neural regions and corresponding functions are commonly indicated, they range across those responsible for action planning and learning, as well as emotional processes. Accordingly, a complete fine-grained map of all neural mechanisms responsible for psychopathy has not been realized, and even if it were, such a map would have limited utility outside of the context of surgical or chemical intervention. The utility of a neural-level understanding of psychopathy is further limited by the fact that it is only applicable in the clinical identification of individual subjects, and the neuro-chemical/biological correction of those subjects after they are positively identified as psychopaths. On the other hand, an information processing model of moral cognition provides for wider-ranging applications. The theoretical and practical implications for such a feasible working model of psychopathic personalities are assessed. Finally, this chapter raises the possibility of directed modification of social-environmental factors (including at the meta-organizational level) discouraging the development of psychopathic personalities in the first place, modifications which are also open to simulation and testing in terms of the same model of moral cognition. (shrink)

The recent advances in Large Language Models (LLMs) and their deployment in social settings prompt an important philosophical question: are LLMs social agents? This question finds its roots in the broader exploration of what engenders sociality. Since AI systems like chatbots, carebots, and sexbots are expanding the pre-theoretical boundaries of our social ontology, philosophers have two options. One is to deny LLMs membership in our social ontology on theoretical grounds by claiming something along the lines that (...) only organic or X-type creatures belong in our social world. Second, expand our ontological boundaries. I take the second route and claim LLMs implemented as social chatbots are social agents. Utilizing Brian Epstein's concepts of grounding and anchoring, alongside Dee Peyton's criteria for what makes a property social, I posit that the capacity for conversations is a social property. Further, within a framework where social agency is considered multi-dimensional, akin to agency, possessing a social property is sufficient for attaining social agency. Thus establishing chatbots as social agents. A helpful concept here is Levels of Abstraction (LoA). The LoA framework allows for extracting relevant and important information from the target domain (the social world). For example, the property of being a 'boy' and the capacity for conversation are social properties; hence, they are part of the social domain. LLMs have the capacity for conversations. So, if we focus on the conversational-LoA and not the gender-LoA, then LLMs occupy a dimension of sociality (i.e., conversational dimensions). (shrink)

The purposes of this study were 1) to develop an instructional model based on active learning concept to enhance ability of social studies learning management design for student teachers and 2) to study the effectiveness of an instructional model by the target group, 29 undergraduate students of social studies, faculty of Education at Thaksin University who have enrolled in a specific teaching course for Semester 1, Academic Year 2020, as 1 classroom. Research instruments included 1) learning (...) management plan based on active learning concept 2) knowledge and understanding test of specific teaching 3) ability assessment of social studies learning management design and 4) student satisfaction assessment towards instructional model. Data were analyzed by using mean score, standard deviation and independent t-test. The findings were as follows: 1) the instructional model based on active learning concept consisted of (1) principles, (2) objectives, (3) 6 stages of instructional procedures including, stimulate social studies learning management, learn how to design social studies learning management, brainstorm the design of the social studies learning process, disclose the design of the social studies learning process, improve the design of the social studies learning process and evaluate of the design of the social studies learning process; and (4) conditions of model implementation. 2) The effectiveness of instructional model revealed that (1) students have more knowledge and understanding after studying, (2) students have ability of thinking, designing, and managing social studies learning management higher than the criterion 3.90%, (3) students have ability of writing social studies learning management plan higher than the criterion 1.37% and (4) students have satisfaction towards instructional model at the highest level. (shrink)

The aim of this paper is to discuss the “Framework for M&S with Agents” (FMSA) proposed by Zeigler et al. [2000, 2009] in regard to the diverse epistemological aims of agent simulations in social sciences. We first show that there surely are great similitudes, hence that the aim to emulate a universal “automated modeler agent” opens new ways of interactions between these two domains of M&S with agents. E.g., it can be shown that the multi-level conception at the core (...) of the FMSA is similar in both contexts: notions of “levels of system specifi cation”, “behavior of models”, “simulator”and “endomorphic agents” can be partially translated in the terms linked to the “denotational hierarchy” (DH) recently introduced in a multi-level centered epistemology of M&S. Second, we suggest considering the question of “credibility” of agent M&S in social sciences when we do not try to emulate but only to simulate target systems. Whereas a stringent and standardized treatment of the heterogeneous internal relations (in the DH) between systems of formalisms is the key problem and the essential challenge in the scope of Agent M&S driven engineering, it is urgent too to address the problem of the external relations (and of the external validity, hence of the epistemic power and credibility) of such levels of formalisms in the specific domains of agent M&S in social sciences, especially when we intend to introduce the concepts of activity tracking. (shrink)

Now that complex Agent-Based Models and computer simulations spread over economics and social sciences - as in most sciences of complex systems -, epistemological puzzles (re)emerge. We introduce new epistemological tools so as to show to what precise extent each author is right when he focuses on some empirical, instrumental or conceptual significance of his model or simulation. By distinguishing between models and simulations, between types of models, between types of computer simulations and between types of empiricity, section (...) 2 gives conceptual tools to explain the rationale of the diverse epistemological positions presented in section 1. Finally, we claim that a careful attention to the real multiplicity of denotational powers of symbols at stake and then to the implicit routes of references operated by models and computer simulations is necessary to determine, in each case, the proper epistemic status and credibility of a given model and/or simulation. (shrink)

This article takes off from Johan van Benthem’s ruminations on the interface between logic and cognitive science in his position paper “Logic and reasoning: Do the facts matter?”. When trying to answer Van Benthem’s question whether logic can be fruitfully combined with psychological experiments, this article focuses on a specific domain of reasoning, namely higher-order social cognition, including attributions such as “Bob knows that Alice knows that he wrote a novel under pseudonym”. For intelligent interaction, it is important that (...) the participants recursively model the mental states of other agents. Otherwise, an international negotiation may fail, even when it has potential for a win-win solution, and in a time-critical rescue mission, a software agent may depend on a teammate’s action that never materializes. First a survey is presented of past and current research on higher-order social cognition, from the various viewpoints of logic, artificial intelligence, and psychology. Do people actually reason about each other’s knowledge in the way proscribed by epistemic logic? And if not, how can logic and cognitive science productively work together to construct more realistic models of human reasoning about other minds? The paper ends with a delineation of possible avenues for future research, aiming to provide a better understanding of higher-order social reasoning. The methodology is based on a combination of experimental research, logic, computational cognitive models, and agent-based evolutionary models. (shrink)

I put forward an externalist theory of social understanding. On this view, psychological sense making takes place in environments that contain both agent and interpreter. The spatial structure of such environments is social, in the sense that its occupants locate its objects by an exercise in triangulation relative to each of their standpoints. This triangulation is achieved in intersubjective interaction and gives rise to a triadic model of the social mind. This model can then be (...) used to make sense of others’ observed actions. Its possession plays a vital role in the development of the capacity for false belief reasoning. The view offers an integrated account of the development of social cognition from primary intersubjectivity to level-2 perspective taking. It incorporates insights from interactionism and mindreading theories of social cognition and thus offers a way out of the stalemate between defenders of the two views. Because psychological sense making is perspectival, the frame problem does not arise for social reasoners: the perspective they bring to bear on the action that is to be interpreted constrains the information they can select to make sense of what others do. (shrink)

Purpose of the study: Not all languages have a universal concept of the same object, and this creates problems in translation. This paper aims to examine the semiotic model for equivalence or non-equivalence in translation which attempts to define the semiotic model, to use the model for translation, and to offer the benefits of this model to solving translation’s problem in equivalence and non-equivalence. Methodology: The data of this research are derived from the novel Lelaki Harimau, (...) as the source language and L'homme Tigre, as the target language. This model is used in the Indonesian novel which has been translated into 14 languages, one of which is in French. The authors use a semiotic approach to analyze the equivalence and non-equivalence in the translation. Main Findings: This study reveals that the concept of signified in the semiotic theory proposes two models: the first: translation using the same concept in the source text (ST) and target text (TT), which is broadly known as equivalence, the second: translation using different concept between ST and TT, this called non-equivalence. This article not only explores the issue of meaning contextually in translation, but also the use of the semiotic model in translation which shows that the language perspective depends on the relationship between the sign and the object. Applications of this study: The model for this study can be used not only in translation studies at universities but also in providing supporting data for applied linguistic studies. Novelty/Originality of this study: This study provides a novelty in translation research with a semiotic approach. The contribution of this study is that the semiotics perspective suggests that a sign in the concept level (signified) will not be universal due to different cultural backgrounds. (shrink)

AI is increasingly becoming based upon Internet-dependent systems to handle the massive amounts of data it requires to function effectively regardless of the availability of stable Internet connectivity in every affected community. As such, sustainable development (SD) for rural and mountain communities will require more than just equitable access to broadband Internet connection. It must also include a thorough means whereby to ensure that affected communities gain the education and tools necessary to engage inclusively with new technological advances, whether they (...) be focused on machine learning algorithms or community infrastructure, as they will be increasingly dependent upon the automational capabilities of AI. In this essay, an exploration will be conducted into the means whereby student-engaged learning (SEL) can effectively be utilized to provide targeted, inclusive education to rural and mountain communities regarding the implications of AI for SD. (shrink)

I argue that a two-dimensional model of social objects is uniquely positioned to deliver explanations for some of the puzzling metaphysical features of words. I consider how a type-token model offers explanations for the metaphysical features of words, but I give reasons to find the model wanting. In its place, I employ an alternative model from social ontology to explain the puzzling data and questions that are generated from the metaphysical features of words. In (...) the end I chart a new path that foregrounds the agent-dependence and social conditions for word kinds. (shrink)

Many multinational corporations develop business operations in Europe. The current research attempts to fill the gap on how corporations can increase their political influence in this geography by exploring the joint effect of corporate political activity(CPA) and social responsibility (CSR) on political embeddedness and financial performance. Based on institutional theory and on a sample of autochthonous (European Union [EU]) and allochthonous (non-EU) firms with declared EU lobbying (from 2008to 2019) we conducted two studies. Based on a multi-level model, (...) Study 1 finds strong and robust evidence that boardroom gender diversity and EU lobbyists inter-actively increase EU political embeddedness. Complementarily, Study 2, which relies on general linear Modeling, suggests that allochthonous corporations are more profit-able when they display high-level political embeddedness and lobbying expenditures, combined with adoption of United Nations (UN) guidelines. Overall, findings show that lobbying in Europe pays off, especially when corporations strive to be aligned with EU ethical values and aspirations. Hiring lobbyists to be based in Brussels and promoting gender equality help establish EU political connections. Subsequently, findings highlight the role that EU political embeddedness, lobbying expenditures, and UN guidelines play in leveraging financial performance, especially across non-EU corporations. Regarding EU corporations, results show that a firm-level investment on CPA-CSR is particularly important. Overall, findings from this research support corporations that are growing businesses in Europe. KEYWORDScorporate political activity, corporate social responsibility, lobbying, return on assets (ROA),United Nations (UN_. (shrink)

Using the original theory of social identity the article considers ethnicity, quasi-ethnicity, and nationality in a context of ethnopolitics. The article introduces logically strong definitions for mentioned identities, shows the possibility of exploding a nationalism basing on any quasi-ethnical social identity – with some historical examples. One non-banal result: the functions of nation in USSR were carried on by the Communist Party.

The concept of “Affordance” is increasingly used among urban designers because it adds theoretical clarity to the understanding of the link between the environment, human behavior, and human needs fulfillment. Affordances emerge only when the different characteristics of individuals, such as their physical dimension and abilities, social needs and personal intentions are matched with the features of the environment. However, in formalizing social sustainability, a central issue to be addressed is the relation between people and their environment in (...) social sustainability processes. The definition of “Affordance” of a particular urban context will provide the means to make precise the opportunities for achieving social sustainability. With reviewing the related literature, it is concluded that the multidisciplinary relations between “Human Needs” and “Social Sustainability” with the aim of “Theory of Affordance” has been out of scholar's agenda. This paper fills this gap with proposing an integrated model of fulfilling human needs in urban context through achieving social Sustainability with the aim of cognitive. (shrink)

We argue that the appraisal of models in social epistemology requires conceiving of them as argumentative devices, taking into account the argumentative context and adopting a family-of-models perspective. We draw up such an account and show how it makes it easier to see the value and limits of the use of models in social epistemology. To illustrate our points, we document and explicate the argumentative role of epistemic landscape models in social epistemology and highlight their limitations. We (...) also claim that our account could be fruitfully used in appraising other models in philosophy and science. (shrink)

Mounting empirical evidence underscores the health benefits of the arts, as recently reported in a scoping review by the World Health Organization. The creative arts in particular are acknowledged to be a public health resource that can be beneficial for well-being and health. Within this broad context, and as a subfield of participatory arts, the term social arts (SA) specifically refers to an art made by socially engaged professionals (e.g., artists, creative arts therapists, social workers, etc.) with non-professionals (...) who determine together the content and the final art product (in theater, visual arts, music, literature, etc.) with the aim to produce meaningful social changes. SA can enhance individual, community, and public health in times of sociopolitical instability and is an active field in Israel. However, SA is still an under-investigated field of study worldwide that is hard to characterize, typify, or evaluate. This paper presents a research protocol designed to examine a tripartite empirically-based model of SA that will cover a wide range of SA training programs, implementations, and impacts. The findings will help refine the definition of SA and inform practitioners, trainers, and researchers, as well as funding bodies and policymakers, on the content and impact of SA projects in Israel and beyond. (shrink)

The objective of the study was to develop a structural model that explores the relationship between Mathematics Performance and students’ self-regulated learning skills, grit, and expectancy-value towards science, technology, engineering and mathematics (STEM). The research collected survey data from 664 senior high school students from 17 STEM high schools, and conducted a covariance-based structural equation modeling (SEM) analysis. The results of the SEM analysis indicate that the Re-specified Self-Regulated Learning Skill – Expectancy-Value towards STEM – Grit – Mathematics Performance (...) (Re-specified SRL-EV-GR-MP) model is the most parsimonious fit, offering the best empirical support for the theoretical model of the study. The research findings suggest that the mathematics performance of senior high school students in STEM curriculum is attributed to their high expectancies for success and perceived values of the STEM tasks, high grit, and high self-regulated learning skills. Moreover, the research also observed evidence of mediating and moderating grit effects in the concurrent effects of expectancy-values towards STEM and self-regulated learning skills towards students’ mathematics performance. (shrink)

Mathematical models are a well established tool in most natural sciences. Although models have been neglected by the philosophy of science for a long time, their epistemological status as a link between theory and reality is now fairly well understood. However, regarding the epistemological status of mathematical models in the social sciences, there still exists a considerable unclarity. In my paper I argue that this results from specific challenges that mathematical models and especially computer simulations face in the (...) class='Hi'>social sciences. The most important difference between the social sciences and the natural sciences with respect to modeling is that in the social sciences powerful and well confirmed background theories (like Newtonian mechanics, quantum mechanics or the theory of relativity in physics) do not exist in the social sciences. Therefore, an epistemology of models that is formed on the role model of physics may not be appropriate for the social sciences. I discuss the challenges that modeling faces in the social sciences and point out their epistemological consequences. The most important consequences are that greater emphasis must be placed on empirical validation than on theoretical validation and that the relevance of purely theoretical simulations is strongly limited. (shrink)

This paper revisits the classical use of Nash bargaining to model the social contract by addressing the two central objections of John Rawls: the influence of threat advantage and the multiplicity of bargaining solutions. We introduce an innovative framework that applies an optimific moral rule, termed Pure Strategy Deontarianism (PSD), to the Nash Bargaining Game. PSD is a synthesis of Kantian deontology and utilitarian altruism. By applying PSD to the Nash bargaining game, we demonstrate how rational agents can (...) normatively select maximal disagreement points as rights, thereby equalizing bargaining power and aligning with Rawls’ first principle of justice. Furthermore, we derive the Kantian solution (KS) for surplus division from PSD, and prove that KS satisfies five key axioms of fairness - symmetry, Pareto optimality, scale invariance, strong monotonicity, and contraction consistency. We argue that KS is an ideal solution, since it does not always lie in the feasible set and so serves as an ideal benchmark that practical approximations like the Nash Bargaining Solution can approach. This synthesis not only offers a robust theoretical resolution to Rawls’ objections but also provides a structured methodology for integrating moral considerations into game-theoretic models of justice. (shrink)

Recent years have seen increased interest among 4E cognition scholars in physical disability, leading to the development of the EE-model of disability. This paper contributes to the literature on disability and 4E cognition in three key ways. First, it examines the relationship between the EE-model and social constructivist views that address the bodily reality of disablement, highlighting commonalities and distinctions. Second, it critiques the EE-model’s focus on individual strategies for expanding disabled persons’ affordance landscapes, arguing that (...) disability policy should integrate insights from both the EE-model and social constructivist approaches. Finally, it assesses the EE-model against the 'dogma of harmony'. We argue that while the EE-model’s focus on active human-environment collaboration is valuable, it can inadvertently perpetuate this dogma. We contend that integrating certain social constructivist insights can help the EE-model avoid the dogma of harmony. (shrink)

In May 2021, Royal Dutch Shell was ordered by the Hague District Court to significantly reduce its CO2 emissions. This ruling is unprecedented in that it attributes the responsibility for mitigating climate change directly to a specific corporate emitter. Shell neither directly causes climate change alone nor can alleviate it by itself; therefore, what grounds this responsibility attribution? I maintain that this question can be answered via Young’s social connection model of responsibility for justice. I defend two claims: (...) First, I argue that the model explains Shell’s connection to climate change and that this relationship grounds Shell’s responsibility. Second, by identifying a way in which the social connection model could be applied to corporations in legal practice, I further develop Young’s model. I question Young’s distinction between political and legal responsibility for justice and propose that courts could mediate citizens’ actions regarding political responsibilities. (shrink)

This study aimed to develop and evaluate a community-based and project-based instructional model for social studies to promote disciplinary behavior and learning responsibility among primary school students in small-sized schools. Using a research and development (R&D) approach guided by the ADDIE model, the study involved 30 Grade 5 students from two small schools in Songkhla Province, Thailand. Participants were divided into experimental and control groups. The PPRSE instructional model, implemented over 20 weeks, was assessed using behavioral (...) scales, academic achievement tests, and satisfaction questionnaires. Data analysis revealed that the experimental group demonstrated significantly higher levels of disciplinary behavior and academic achievement in social studies compared to the control group (p < .05). Students also reported high satisfaction with the model, particularly regarding its real-world relevance and educational benefits. The findings highlight the model's effectiveness in fostering self-discipline, responsibility, and academic success through active, community-engaged learning. The study offers practical implications for educators seeking to enhance student engagement and lifelong learning competencies, especially in resource-constrained or small-school environments. The model provides a replicable framework that bridges classroom learning with local contexts, reinforcing 21st-century skills through meaningful and student-centered pedagogical practices. (shrink)

This study aimed to develop and evaluate a community-based and project-based instructional model for social studies to promote disciplinary behavior and learning responsibility among primary school students in small-sized schools. Using a research and development (R&D) approach guided by the ADDIE model, the study involved 30 Grade 5 students from two small schools in Songkhla Province, Thailand. Participants were divided into experimental and control groups. The PPRSE instructional model, implemented over 20 weeks, was assessed using behavioral (...) scales, academic achievement tests, and satisfaction questionnaires. Data analysis revealed that the experimental group demonstrated significantly higher levels of disciplinary behavior and academic achievement in social studies compared to the control group (p < .05). Students also reported high satisfaction with the model, particularly regarding its real-world relevance and educational benefits. The findings highlight the model's effectiveness in fostering self-discipline, responsibility, and academic success through active, community-engaged learning. The study offers practical implications for educators seeking to enhance student engagement and lifelong learning competencies, especially in resource-constrained or small-school environments. The model provides a replicable framework that bridges classroom learning with local contexts, reinforcing 21st-century skills through meaningful and student-centered pedagogical practices. (shrink)

The concept of supermatrix for social scientists was first introduced by Paul Horst. The main purpose of his book was to introduce this concept to social scientists, students, teachers and research workers who lacked mathematical training. This book introduces the concept of fuzzy super matrices and operations on them. The author has provided only those operations on fuzzy supermatrices that are essential for developing super fuzzy multi expert models. This book will be highly useful to social scientists (...) who wish to work with multi expert models. (shrink)

The growing importance of Social Networking Sites (SNS) in today's information economy has generated significant interest for understanding and managing shared fake news about brands on social media among academia and industry worldwide. In this context, we consider it is important to discuss the role of flow, also called optimal experience, in sharing fake news about brands on social media. Firstly, we will critically analyze the conceptualizations of the umbrella term „fake news‟ in the so-called „post-truth‟ era (...) and assume a narrow definition from literature. Secondly, we will review different theories from literature (i.e., selective exposure theory, uses and gratifications theory, social comparison theory, rational choice theory and self- determination theory) in order to explain why users share fake news. Furthermore, we will refer to flow theory proposed by Csikszentmihalyi (1975), which could be used as a framework to better the understanding of the user‟s behavior regarding the sharing of fake news about brands on social media. Flow is a hedonistic construct whose importance is widely recognized as having a major impact on the user's behavior in relation to information systems. According to Csikszentmihalyi (1975, 1988), flow is a “crucial component of enjoyment” and is “the holistic sensation that people feel when they act with total involvement”. In a flow state, the consumer perceives an effortless action, loss of time and a sense that the experience stands out as being exceptional compared to daily activities (Csikszentmihalyi 1997). Flow is a continuous variable that can occur on different levels, ranging from none to an intense (or complete) state (Csikszentmihalyi & Csikszentmihalyi 1988). Flow experience has been studied as an independent variable, as a dependent variable, and lately, as a mediator variable. In this paper we propose a new conceptual model containing 3 variables: (1) fake news spread about brands in SNS, (2) flow state experienced by SNS human users (i.e., optimal experience) and (3) sharing fake news about brands on social media by SNS human users (i.e., social media behavior). We conclude by outlining the need to empirically test the new conceptual model proposed in this paper. (shrink)

How can we better understand the intricate web of relationships that bind people, nature, and the institutions that govern them—particularly in complex systems such as small-scale fisheries? A recent study by Schlüter et al. (2025) offers an innovative perspective: rather than viewing the world as composed of fixed entities like “humans” or “fish,” it proposes modeling these systems as evolving networks of relationships and interactions that continuously shape one another.

Reports of patients with schizophrenia show a fragmented and anomalous subjective experience. This pathological subjective experience, we suggest, can be related to the fact that disembodiment inhibits the possibility of intersubjective experience, and more importantly of common sense. In this paper, we ask how to investigate the anomalous experience both from qualitative and quantitative viewpoints. To our knowledge, few studies have focused on a clinical combination of both first- phenomenological assessment and third-person biological methods, especially for Schizophrenia, or ASD therapeutics (...) and diagnosis. We will thus attempt to bring forward a second-person scientific design, accounting for both the first-person subjective experiential aspects, and respective third-person neurobiological correlates of embodied aesthetics in anomalous experience. From this proposal, we further explore the consequences to clinical and research practice. (shrink)

In the past few years, social epistemologists have developed several formal models of the social organisation of science. While their robustness and representational adequacy has been analysed at length, the function of these models has begun to be discussed in more general terms only recently. In this article, I will interpret many of the current formal models of the scientific community as representing the latest development of what I will call the ‘Kuhnian project’. These models share with Kuhn (...) a number of questions about the relation between individuals and communities. At the same time, they also inherit some of Kuhn’s problematic characterisations of the scientific community. In particular, current models of the social organisation of science represent the scientific community as essentially value-free. This may put into question both their representational adequacy and their normative ambitions. In the end, it will be shown that the discussion on the formal models of the scientific community may contribute in fruitful ways to the ongoing debates on value judgements in science. (shrink)

This article discusses the conditions under which dialogical learner-researchers can move out of the philosophical laboratory of a community of philosophical inquiry into the field of social activism, engaging in a critical and creative examination of society and seeking to change it. Based on Matthew Lipman’s proposal that communities of philosophical inquiry can serve as a model of social activism in the present, it presents the community of philosophical inquiry as a model for social activism (...) in the future. In other words, Lipman’s central ideas in his earlier and later thought—including meaning as a mode of action, relevance as a way of examining life and stimulating influence for change as a form of creating a democratic society—establish two parallel circle of influence: the present time, in the shape of the philosophical community of inquiry that allows activist skills to be honed, and a social space that extends into the future as a forum for applying principles and bettering society. Finally, this paper adduces several forms of social activism that may be anchored in philosophical awareness of real conditions and their contexts. Through them, the community of philosophical inquiry not only constitutes a place in which young people’s thought processes can be developed but also one in which they can aspire to become activists in various areas. (shrink)

In his famous 1982 paper, Allen Newell [22, 23] introduced the notion of knowledge level to indicate a level of analysis, and prediction, of the rational behavior of a cognitive arti cial agent. This analysis concerns the investigation about the availability of the agent knowledge, in order to pursue its own goals, and is based on the so-called Rationality Principle (an assumption according to which "an agent will use the knowledge it has of its environment to achieve its goals" [22, (...) p. 17]. By using the Newell's own words: "To treat a system at the knowledge level is to treat it as having some knowledge, some goals, and believing it will do whatever is within its power to attain its goals, in so far as its knowledge indicates" [22, p. 13]. In the last decades, the importance of the knowledge level has been historically and system- atically downsized by the research area in cognitive architectures (CAs), whose interests have been mainly focused on the analysis and the development of mechanisms and the processes governing human and (arti cial) cognition. The knowledge level in CAs, however, represents a crucial level of analysis for the development of such arti cial general systems and therefore deserves greater research attention [17]. In the following, we will discuss areas of broad agree- ment and outline the main problematic aspects that should be faced within a Common Model of Cognition [12]. Such aspects, departing from an analysis at the knowledge level, also clearly impact both lower (e.g. representational) and higher (e.g. social) levels. (shrink)

The geosciences include a wide spectrum of disciplines ranging from paleontology to climate science, and involve studies of a vast range of spatial and temporal scales, from the deep-time history of microbial life to the future of a system no less immense and complex than the entire Earth. Modeling is thus a central and indispensable tool across the geosciences. Here, we review both the history and current state of model-based inquiry in the geosciences. Research in these fields makes use (...) of a wide variety of models, such as conceptual, physical, and numerical models, and more specifically cellular automata, artificial neural networks, agent-based models, coupled models, and hierarchical models. We note the increasing demands to incorporate biological and social systems into geoscience modeling, challenging the traditional boundaries of these fields. Understanding and articulating the many different sources of scientific uncertainty – and finding tools and methods to address them – has been at the forefront of most research in geoscience modeling. We discuss not only structuralmodel uncertainties, parameter uncertainties, and solution uncertainties, but also the diverse sources of uncertainty arising from the complex nature of geoscience systems themselves. Without an examination of the geosciences, our philosophies of science and our understanding of the nature of model-based science are incomplete. (shrink)

Julia Knopes’s (2025) article aims to explain how models of disability apply in the lives and experiences of people with lived mental health conditions who serve as peer support providers. However,...

In this short essay, I describe how our Vietnam-based continuing education program, Research Coach in Social Sciences (RCISS), supports early-career researchers to (co)publish their first international indexed publications (i.e., publications in Clarivate Web of Science [WoS] or Sco- pus-indexed journals). In developed countries, junior researchers often seek help from univer- sity professors to publish their first publication. However, given the chronic shortage of senior social sciences scholars with international publishing experience in Vietnam, along with out- dated and ill-designed (...) PhD programs, early-career researchers in the social sciences in Viet- nam often face challenges in international publishing. (shrink)

I defend an empirically-oriented approach to the analysis and remediation of social injustice. My springboard for this argument is a debate—principally represented here between Tommie Shelby and Elizabeth Anderson, but with much deeper historical roots and many flowering branches—about whether racial-justice advocacy should prioritize integration (bringing different groups together) or community development (building wealth and political power within the black community). Although I incline toward something closer to Shelby’s “egalitarian pluralist” approach over Anderson’s single-minded emphasis on integration, many of (...) Shelby’s criticisms of integrationism are misguided, and his handling of the empirical literature is profoundly unbalanced. In fact, while both Shelby and Anderson defend the importance of social science to their projects, I’ll argue that each takes a decidedly unempirical approach, which ultimately obscures the full extent of our ignorance about what we can and ought to do going forward. A more authentically empirical tack would be more epistemically humble, more holistic, and less organized around what I’ll call prematurely formulated “Grand Unified Theories of Social Change.” I defend a more “diversified experimentalist” approach, which rigorously tests an array of smaller-scale interventions before trying to replicate and scale up the most promising results. (shrink)

Public discussions of political and social issues are often characterized by deep and persistent polarization. In social psychology, it’s standard to treat belief polarization as the product of epistemic irrationality. In contrast, we argue that the persistent disagreement that grounds political and social polarization can be produced by epistemically rational agents, when those agents have limited cognitive resources. Using an agent-based model of group deliberation, we show that groups of deliberating agents using coherence-based strategies for managing (...) their limited resources tend to polarize into different subgroups. We argue that using that strategy is epistemically rational for limited agents. So even though group polarization looks like it must be the product of human irrationality, polarization can be the result of fully rational deliberation with natural human limitations. (shrink)

This paper aims to reconstruct traditional social contract theory through the original theoretical framework of Judgemental Philosophy. Whereas existing social contract theories have primarily explained the legitimacy of state and social order centering on concepts such as reason, natural rights, and agreement, this paper applies the core structures of Judgemental Philosophy—the Pre-Judgemental Field (PJF) and the Judgemental Triad (Constructivity, Coherence, Resonance), along with key stages of the "Enhanced Ten-Step Model of Judgemental Philosophy" (particularly S9: Inter-subjective Resonance, (...) S10: Normative Codification & Transmission)—to deeply analyze the fundamental motivations for social contract, its formation process, institutionalization, and the problem of securing ongoing legitimacy. This paper argues that the motivation for social contract originates from a fundamental drive to overcome the 'Indeterminacy' of the PJF and secure stable 'Resonance'; that the formation of the contract is a process of co-constructing meaning through S9's inter-subjective resonance; and that the resulting state is a judgemental structure institutionalized via S10's normative codification. Furthermore, it reveals that the legitimacy of the social contract depends on whether the community can continuously provide its members with meaningful Coherence and Resonance. This approach offers a new structural understanding of social contract theory and will provide an opportunity to extend the explanatory power of Judgemental Philosophy to politico-philosophical discussions. (shrink)