The issue of whether biological and psychological properties associated with disability can be harmful, beneficial, or neutral brings up an important philosophical question about how we evaluate disability, and disability’s impact on well-being. The debate is usually characterized as between those who argue disability is intrinsically harmful, and disability rights advocates who argue that disability is just another way of being different, in part, because disability can also provide important benefits. I argue that this debate is a false one, as (...) neither view can capture the more complicated relationship between disability and well-being. I argue that many disabilities are best understood as a kind of pro-tanto extrinsic harm that is characterized in counterfactual terms. This means that our judgments concerning disability and harm must be context-sensitive. (shrink)

Obsessive-compulsive disorder is a commonly occurring neuropsychiatric condition characterized by bothersome intrusive thoughts and urges that frequently lead to repetitive dysfunctional behaviours such as excessive handwashing. There are well-documented alterations in cerebral function which appear to be closely related to the manifestation of these symptoms. Controlled studies of cognitive-behavioural therapy techniques utilizing the active refocusing of attention away from the intrusive phenomena of OCD and onto adaptive alternative activities have demonstrated both significant improvements in clinical symptoms and systematic changes in (...) the pathological brain circuitry associated with them. Careful investigation of the relationships between the experiential and putative neurophysiological processes involved in these changes can offer useful insights into volitional aspects of cerebral function. (shrink)

The current COVID-19 pandemic and the previous SARS/MERS outbreaks of 2003 and 2012 have resulted in a series of major global public health crises. We argue that in the interest of developing effective and safe vaccines and drugs and to better understand coronaviruses and associated disease mechenisms it is necessary to integrate the large and exponentially growing body of heterogeneous coronavirus data. Ontologies play an important role in standard-based knowledge and data representation, integration, sharing, and analysis. Accordingly, we initiated the (...) development of the community-based Coronavirus Infectious Disease Ontology in early 2020. -/- As an Open Biomedical Ontology (OBO) library ontology, CIDO is open source and interoperable with other existing OBO ontologies. CIDO is aligned with the Basic Formal Ontology and Viral Infectious Disease Ontology. CIDO has imported terms from over 30 OBO ontologies. For example, CIDO imports all SARS-CoV-2 protein terms from the Protein Ontology, COVID-19-related phenotype terms from the Human Phenotype Ontology, and over 100 COVID-19 terms for vaccines (both authorized and in clinical trial) from the Vaccine Ontology. CIDO systematically represents variants of SARS-CoV-2 viruses and over 300 amino acid substitutions therein, along with over 300 diagnostic kits and methods. CIDO also describes hundreds of host-coronavirus protein-protein interactions (PPIs) and the drugs that target proteins in these PPIs. CIDO has been used to model COVID-19 related phenomena in areas such as epidemiology. The scope of CIDO was evaluated by visual analysis supported by a summarization network method. CIDO has been used in various applications such as term standardization, inference, natural language processing (NLP) and clinical data integration. We have applied the amino acid variant knowledge present in CIDO to analyze differences between SARS-CoV-2 Delta and Omicron variants. CIDO's integrative host-coronavirus PPIs and drug-target knowledge has also been used to support drug repurposing for COVID-19 treatment. -/- CIDO represents entities and relations in the domain of coronavirus diseases with a special focus on COVID-19. It supports shared knowledge representation, data and metadata standardization and integration, and has been used in a range of applications. (shrink)

Understanding recreational experiences is a longstanding research tradition and key to effective management. Given the complexities of human experience, many approaches have been applied to study recreational experience. Two such approaches are the experiential approach (based in a positivistic paradigm) and emergent experience (based in an interpretive paradigm). While viewed as being complementary, researchers have not offered guidance for incorporating the approaches into a common model of recreational experience. This study utilized longitudinal, qualitative data to examine aspects of recreational experience (...) posited by these two approaches. Results provided a framework for synthesizing across the two approaches. Respondents had clear pre-activity expectations, and most respondents realized their expected outcomes. This supports the experiential approach. Of the 48 activity narratives, 27 experienced something unexpected, and 45 described process-oriented, intrinsic motivation, suggesting evidence of emergent and unique characteristics specific to an individual’s realization of recreational experience. This supports the application of the emergent experience approach to understand how individuals create meaning from recreational engagements. The paper proposes a model for integrating results of the two approaches. While not advocating for any specific approach, the findings can serve as an example of building a holistic model of the outdoor recreation experience. The purpose of the model is to allow for a more complete understanding of how individuals create recreation experiences, more complete documentation of the benefits of outdoor recreation for both researchers and managers, and better synthesis across studies. (shrink)

This article attempts to answer a question that many dancers and non-dancers may have. What is dance according to the media? Furthermore, how does the written word portray dance in the media? To answer these ques-tions, this research focuses on the role that the discourse of dance in media plays in the public sphere’s knowledge construction of dance. This is impor-tant to study because the public sphere’s meaning of dance will determine whether dance education is promoted or banned in schools (...) and in society. The aim of this paper is to contribute to the existing literature of dance in the media. One limitation of this contribution is that the research uses only newspaper articles as a source of analysis. Future research should include an analysis of visual and audio clips of dance as portrayed in the media. (shrink)

Rather than assume—based on the contents of the Nachlass—that the Eternal Recurrence, in its initial formulation, coheres with the later theoretico-metaphysical sense (i.e., sharing abstract space with the Will to Power) I propose the inverse (contrary to Heidegger, Deleuze, and Nehamas (whose Proustian exegesis (Nietzsche: Life as Literature) I’m obliged to radically extend)); namely, that the rotary cosmology of recurrence, as a literal proposition, is a consequence of the poetic sense of the earlier parable (GS)–which, I find, ultimately prefigures the (...) design of his own virulent relapse into theoria (WP). (shrink)

Studying the neural correlates of conscious awareness depends on a reliable comparison between activations associated with awareness and unawareness. One particularly difficult confound to remove is task performance capacity, i.e. the difference in performance between the conditions of interest. While ideally task performance capacity should be matched across different conditions, this is difficult to achieve experimentally. However, differences in performance could theoretically be corrected for mathematically. One such proposal is found in a recent paper by Lamy, Salti and Bar-Haim [Lamy (...) D, Salti M, Bar-Haim Y. Neural correlates of subjective awareness and unconscious processing: an ERP study. J Cognitive Neurosci 2009,21:1435-46], who put forward a corrective method for an electroencephalography experiment. We argue that their analysis is essentially grounded in a version of High Threshold Theory, which has been shown to be inferior in general to Signal Detection Theory. We show through a series of computer simulations that their correction method only partially removes the influence of perfor- mance capacity, which can yield misleading results. We present a mathematical correction method based on Signal Detection Theory that is theoretically capable of removing performance capacity confounds. We discuss the limitations of mathemati- cally correcting for performance capacity confounds in imaging studies and its impact for theories about consciousness. (shrink)

There is no doubt that custard apple diseases are among the important reasons that destroy the Custard Apple plant and its agricultural crops. This leads to obvious damage to these plants and they become inedible. Discovering these diseases is a good step to provide the appropriate and correct treatment. Determining the treatment with high accuracy depends on the method used to correctly diagnose the disease, expert systems can greatly help in avoiding damage to these plants. The expert system correctly diagnoses (...) Custard Apple disease to make it easier for farmers to find the right treatment based on the appropriate diagnosis. Objectives: A specialized syllable language system was established for the diagnosis of Custard Apple plant disease. (shrink)

This paper defends views like rule consequentialism by distinguishing between two sorts of ideal world objections. It aims to show that one of those sorts of objections is question-begging. Its success would open up a path forward for such views.

Moral error theory is the doctrine that our first-order moral commitments are pervaded by systematic error. It has been objected that this makes the error theory itself a position in first-order moral theory that should be judged by the standards of competing first-order moral theories :87–139, 1996) and Kramer. Kramer: “the objectivity of ethics is itself an ethical matter that rests primarily on ethical considerations. It is not something that can adequately be contested or confirmed through non-ethical reasoning” [2009, 1]). (...) This paper shows that error theorists can resist this charge if they adopt a particular understanding of the presuppositions of moral discourse. (shrink)

I introduce a new formulation of rule consequentialism, defended as an improvement on traditional formulations. My new formulation cleanly avoids what Parfit calls “ideal world” objections. I suggest that those objections arise because traditional formulations incorporate counterfactual comparisons about how things could go differently. My new formulation eliminates those counterfactual comparisons. Part of the interest of the new formulation is as a model of how to reformulate structurally similar views, including various kinds of contractualism.

It is crucial to actively detect the risks of transactions in a financial company to improve customer experience and minimize financial loss. In this study, we compare different machine learning algorithms to effectively and efficiently predict the legitimacy of financial transactions. The algorithms used in this study were: MLP Repressor, Random Forest Classifier, Complement NB, MLP Classifier, Gaussian NB, Bernoulli NB, LGBM Classifier, Ada Boost Classifier, K Neighbors Classifier, Logistic Regression, Bagging Classifier, Decision Tree Classifier and Deep Learning. The dataset (...) was collected from Kaggle depository. It consists of 6362620 rows and 10 columns. The best classifier with unbalanced dataset was the Random Forest Classifier. The Accuracy 99.97%, precession 99.96%, Recall 99.97% and the F1-score 99.96%. However, the best classifier with balanced dataset was the Bagging Classifier. The Accuracy 99.96%, precession 99.95%, Recall 99.98% and the F1-score 99.96%. (shrink)

This paper shows how to formulate moral error theories given a contextualist semantics like the one that Angelika Kratzer pioneered, answering the concerns that Christine Tiefensee developed.

Philosophy and Phenomenological Research, EarlyView.

Deep learning may transform health care, but model development has largely been dependent on availability of advanced technical expertise. The aim of this study is to develop a deep learning model to predict the gender from retinal fundus images. The proposed model was based on the Xception pre-trained model. The proposed model was trained on 20,000 retinal fundus images from Kaggle depository. The dataset was preprocessed them split into three datasets (training, validation, Testing). After training and cross-validating the proposed model, (...) it was evaluated using the testing dataset. The result of testing, the area under receiver operating characteristic curve (AUROC) of the model was 0.99, precision, recall, f1-score and accuracy were 99%, precision, recall, f1-score and accuracy were 96.83%, 96.83%, 96.82% and 96.83% respectively.. Clinicians are presently unaware of dissimilar retinal feature variants between females and males, stressing the importance of model explain ability for the prediction of gender from retinal fundus images. The proposed deep learning may enable clinician-driven automated discovery of novel visions and disease biomarkers. (shrink)

Automatic detection of diseases and anatomical landmarks in medical images by the use of computers is important and considered a challenging process that could help medical diagnosis and reduce the cost and time of investigational procedures and refine health care systems all over the world. Recently, gastrointestinal (GI) tract disease diagnosis through endoscopic image classification is an active research area in the biomedical field. Several GI tract disease classification methods based on image processing and machine learning techniques have been proposed (...) by diverse research groups in the recent past. However, yet effective and comprehensive deep ensemble neural network-based classification model with high accuracy classification results is not available in the literature. In this thesis, we review ways and mechanisms to use deep learning techniques to research on multi-disease computer-aided detection about gastrointestinal and identify these images. We re-trained five state-of-the-art neural network architectures, VGG16, ResNet, MobileNet, Inception-v3, and Xception on the Kvasir dataset to classify eight categories that include an anatomical landmark (pylorus, z-line, cecum), a diseased state (esophagitis, ulcerative colitis, polyps), or a medical procedure (dyed lifted polyps, dyed resection margins) in the Gastrointestinal Tract. Our models have showed results with a promising accuracy which is a remarkable performance with respect to the state-of-the-art approaches. The resulting accuracies achieved using VGG, ResNet, MobileNet, Inception-v3, and Xception were 98.3%, 92.3%, 97.6%, 90% and 98.2%, respectively. As it appears, the most accurate result has been achieved when retraining VGG16 and Xception neural networks with accuracy reache to 98% due to its high performance on training on ImageNet dataset and internal structure that support classification problems. (shrink)

This paper develops an argument that, if rule consequentialism is true, it’s not possible to defend it as the outcome of reflective equilibrium. Ordinary agents like you and me are ignorant of too many empirical facts. Our ignorance is a defeater for our moral intuitions. Even worse, there aren’t enough undefeated intuitions left to defend rule consequentialism. The problem I’ll describe won’t be specific to rule consequentialists, but it will be especially sharp for them.

We consider emergence from the perspective of dynamics: states of a system evolving with time. We focus on the role of a decomposition of wholes into parts, and attempt to characterize relationships between levels without reference to whether higher-level properties are “novel” or “unexpected.” We offer a classification of different varieties of emergence, with and without new ontological elements at higher levels. -/- Submitted to a volume on Real Patterns (Tyler Milhouse, ed.), to be published by MIT Press.

Some philosophers argue that martial arts training is maladaptive, contributes to psychological illness, and provides a social harm, whereas others argue that martial arts training is adaptive, contributes to psychological wellness, and provides a social benefit. This debate is important to scholars and the general public since beliefs about martial arts training can have a real impact on how we evaluate martial artists for job opportunities and career advancement, and in general, how we treat martial artists from different cultures in (...) our communities. This debate is also important for children and adults that have considered enrolling in martial arts training programs but remain uncertain about potential outcomes of training due to the lack of research in this area. This article therefore contributes to the literature on martial arts by (1) outlining a framework that characterizes psychological well-being in terms of five elements, (2) discussing how results from empirical research support the hypothesis that Muay Thai training can contribute to psychological well-being by contributing to all five component elements, (3) discussing the psychological benefits of martial arts training from the perspective of an Everlast Master Instructor, and (4) discussing how martial arts training involves the cultivation of combat-relevant affordances. (shrink)

Hybrid metaethical theories have significant promise; they would have important upshots if they were true. But they also face severe problems. The problems are severe enough to make many philosophers doubt that they could be true. My ambition is to show that the problems are just instances of a highly general problem: a problem about what are sometimes called ‘intensional anaphora'. I'll also show that any adequate explanation of intensional anaphora immediately solves all the problems for the hybrid theorist. We (...) should regard hybrid tools as among the most legitimate tools in our toolkit—at least when we use them properly. (shrink)

This editorial introduces the Journal of Consciousness Studies special issue on "Animal Consciousness". The 15 contributors and co-editors answer the question "How should we study animal consciousness scientifically?" in 500 words or fewer.

The genetic modification of pigs as a source of transplantable organs is one of several possible solutions to the chronic organ shortage. This paper describes existing ethical tensions in xenotransplantation (XTx) that argue against pursuing it. Recommendations for lifelong infectious disease surveillance and notification of close contacts of recipients are in tension with the rights of human research subjects. Parental/guardian consent for pediatric xenograft recipients is in tension with a child’s right to an open future. Individual consent to transplant is (...) in tension with public health threats that include zoonotic diseases. XTx amplifies concerns about justice in organ transplantation and could exacerbate existing inequities. The prevention of infectious disease in source animals is in tension with the best practices of animal care and animal welfare, requiring isolation, ethologically inappropriate housing, and invasive reproductive procedures that would severely impact the well-being of intelligent social creatures like pigs. (shrink)

In order to better understand the topic of hope, this paper argues that two separate theories are needed: One for hoping, and the other for hopefulness. This bifurcated approach is warranted by the observation that the word ‘hope’ is polysemous: It is sometimes used to refer to hoping and sometimes, to feeling or being hopeful. Moreover, these two senses of 'hope' are distinct, as a person can hope for some outcome yet not simultaneously feel hopeful about it. I argue that (...) this distinction between hoping and hopefulness is not always observed or fully appreciated in the literature and has consequently caused much confusion. This paper then sketches what theorizing about hope looks like in light of this clarification and discusses some of its implications. (shrink)

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines or software that work and react like humans. Some of the activities computers with artificial intelligence are designed for include, Speech, recognition, Learning, Planning and Problem solving. Deep learning is a collection of algorithms used in machine learning, It is part of a broad family of methods used for machine learning that are based on learning representations of data. Deep learning is a technique used (...) to produce Pneumonia detection and classification models using x-ray imaging for rapid and easy detection and identification of pneumonia. In this thesis, we review ways and mechanisms to use deep learning techniques to produce a model for Pneumonia detection. The goal is find a good and effective way to detect pneumonia based on X-rays to help the chest doctor in decision-making easily and accuracy and speed. The model will be designed and implemented, including both Dataset of image and Pneumonia detection through the use of Deep learning algorithms based on neural networks. The test and evaluation will be applied to a range of chest x-ray images and the results will be presented in detail and discussed. This thesis uses deep learning to detect pneumonia and its classification. (shrink)

It is tempting to think that a process of choosing a point at random from the surface of a sphere can be probabilistically symmetric, in the sense that any two regions of the sphere which differ by a rotation are equally likely to include the chosen point. Isaacs, Hájek, and Hawthorne (2022) argue from such symmetry principles and the mathematical paradoxes of measure to the existence of imprecise chances and the rationality of imprecise credences. Williamson (2007) has argued from a (...) related symmetry principle to the failure of probabilistic regularity. We contend that these arguments fail, because they rely on auxiliary assumptions about probability which are inconsistent with symmetry to begin with. We argue, moreover, that symmetry should be rejected in light of this inconsistency, and because it has implausible decision- theoretic implications. -/- The weaker principle of probabilistic invariance says that the probabilistic comparison of any two regions is unchanged by rotations of the sphere. This principle supports a more compelling argument for imprecise probability. We show, however, that invariance is incompatible with mundane judgments about what is probable. Ultimately, we find reason to be suspicious of the application of principles like symmetry and invariance to nonmeasurable regions. (shrink)

This paper introduces and defends a high-level generalization about the way that presupposition triggers interact with attitude verbs. This generalization tells us a great deal about what an adequa...

Recently, the concept of "gender identity" has enjoyed a great deal of attention in gender metaphysics. This seems to be motivated by the goal of creating trans-inclusive theory, by explaining trans people's genders. In this paper, we aim to unmotivate this project. Notions of "gender identity" serve important pragmatic purposes for trans people, such as satisfying the curiosity of non-trans people, and, relatedly, securing our access to important goods like legal rights and medical care. However, we argue that this does (...) not mean that "gender identity" is a metaphysically substantial thing that deserves extensive theoretical attention. There are reasons to be skeptical of such a concept. We trace the history of "gender identity," primarily to identify its roots in trans-antagonistic medical theory and its connections to the problematic "wrong-body" model--a legacy that has pathologized and flattened trans experience. Moreover, we argue that trans people primarily use "gender identity" to explain ourselves to non-trans people, rather than to discuss ourselves among ourselves. Thus, we urge theorists to resist the urge to substantiate gender identity. Instead, we encourage the development of new and better concepts, ones that attend to the lived realities of trans community and the flourishing gender terms and practices that are constructed there. If these lived realities are taken seriously, there is no need to “explain” trans people’s genders; we can simply see them as they are. (shrink)

Welfarism is the view that individual welfare is the only thing that matters. One important contribution of social choice theory has been to provide a precise formulation and axiomatic characterization of welfarism using Amartya Sen's framework of social welfare functionals. This paper is motivated by the observation that the standard formalization of welfarism is too restrictive, since a welfarist social planner need not be committed to maximizing a preference ordering or any other binary relation over alternatives. We therefore provide a (...) characterization of welfarism in a more general choice-functional setting and show that welfarism, so understood, carries no commitment to rationalizability. This characterization is compatible with welfare values having any structure whatsoever. It also sheds light on different formulations of anonymity, revealing only some of these to be fundamental requirements of impartiality. (shrink)

Moral and political forms of constructivism accord to people strong, “constitutive” forms of discursive standing and so build on, or express, a commitment to discursive respect. The paper explores dimensions of discursive respect, i.e., depth, scope, and purchase; it addresses tenuous interdependencies between them; on this basis, it identifies limitations of the idea of discursive respect and of constructivism. The task of locating discursive respect in the normative space defined by its three dimensions is partly, and importantly, an ethical task (...) that is beyond constructivism. Interdependencies between these dimensions call into question the possibility of a plausible and coherent form of discursive respect that is deep, inclusive in scope, and rich in purchase. This does not mean that we should reject discursive respect, or constructivism, for that matter. But it suggests that the task of reconciling the dimensions of discursive respect may not allow for widely shareable results. This task needs to be addressed on non-constructivist grounds. Accordingly, we have reasons to concede that constitutive forms of discursive standing are less fundamental in the order of justification than weaker, “derivative” forms, and this is so especially if we take constitutive standing to mark an important good. (shrink)

Background: Mint is a grassy, perennial plant, belonging to the oral platoon, fast growing and spreading, its leaves are green in color, fragrant, tart, refreshing, square-shaped leg, bifurcated, erect, ranging in height from (10 - 201 cm). Home to Europe and Asia. The mint plant has many benefits, the most important of which are pain relief, treatment of gallbladder disorders, the expulsion of gases, anti-inflammatory, and relaxing nerves. While the mint plant is the ideal option for the start of gardens, (...) it is prone to some common diseases that affect the plant's growth. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment. Methods: In this paper, the design of the proposed Expert System was produced to help Farmers and those interested in agriculture in diagnosing many of the Mint diseases such as Mint rust, Verticillium wilt, Anthracnose, Powdery mildew, Black Stem Rot, Stem and stolon canker, Septoria leaf spot. The proposed expert system presents an overview of mint diseases are given, the cause of diseases outlined and the treatment of disease whenever possible is given out. CLIPS Expert System language was used for designing and implementing the proposed expert system. Results: The proposed Mint diseases diagnosis expert system was evaluated by Agricultural Students at AL Azhar University and some friends interested in agriculture and they were satisfied with its performance. Conclusions: The proposed expert system is very useful for Farmers and those interested in agriculture. (shrink)

Papaya is a tropical fruit with a green cover, yellow pulp, and a taste between mango and cantaloupe, having commercial importance because of its high nutritive and medicinal value. The process of sorting papaya fruit based on maturely is one of the processes that greatly determine the mature of papaya fruit that will be sold to consumers. The manual grading of papaya fruit based on human visual perception is time-consuming and destructive. The objective of this paper is to the status (...) classification of papaya fruits if it's mature or partially matured or unmatured. A deep learning technique that was extensively applied to image recognition was used. The trained model achieved an accuracy of 100% on a held-out test set, demonstrating the feasibility of this approach. Classification model of VGG16 achieved a 100% accuracy and 112 seconds of training time. (shrink)

Psychiatric patients sometimes ask where to draw the line between who they are – their selves – and their mental illness. This problem is referred to as the self-illness ambiguity in the literature; it has been argued that solving said ambiguity is a crucial part of psychiatric treatment. I distinguish a Realist Solution from a Constructivist one. The former requires finding a supposedly pre-existing border, in the psychiatric patient’s mental life, between that which belongs to the self and that which (...) belongs to the mental illness. I argue that no such border exists, and that attempts to find it might even render the felt ambiguity worse. Instead, any solution must be constructivist; the patient (and others) should deliberate and discuss what to identify with or not. I further argue that psychiatric patients need not see their mental illness as wholly distinct from themselves to avoid ‘identifying with their diagnoses' in a problematic way. Finally, we can excuse problematic behaviour by mentally ill people – in fact, we can do so in a more nuanced and constructive way – while rejecting the view that the mental illness is wholly distinct from the patient’s self. (shrink)

In the United States, police use of force experts often maintain that controversial police shootings where an unarmed person’s hand gesture was interpreted as their “going for a gun” are justifiable. If an officer waits to confirm that a weapon is indeed being pulled from a jacket pocket or waistband, it may be too late to defend against a lethal attack. This article examines police policy norms for self-defense against “uncertain threats” in three contexts: (1) known in-progress violent crimes, (2) (...) interactions with civilians behaving non-aggressively, and (3) interactions with civilians behaving aggressively. It is argued that the context of a known in-progress violent crime gives rise to threat probability-, fairness-, and lesser evil-based reasons for a norm permitting police officers to use lethal force. However, in the contexts of civilians behaving non-aggressively and civilians behaving aggressively, such a norm is not justifiable. In the former case, I introduce two conditions, the Justification condition and the Valuing Civilian Lives condition, which I argue are not presently met. In the latter case, these two conditions again are not met; aggression may moreover be excused or justified due to background injustices around race and the criminal justice system. (shrink)

Abstract: Artificial Intelligence (AI) has rapidly evolved, offering transformative capabilities for business decision-making. This paper explores how AI can be leveraged to enhance strategic decision-making in business contexts. It examines the integration of AI-driven analytics, predictive modeling, and automation to improve decision accuracy and operational efficiency. By analyzing current applications and case studies, the paper highlights the opportunities AI presents, including enhanced data insights, risk management, and personalized customer experiences. Additionally, it addresses the challenges businesses face in adopting AI, such (...) as data privacy concerns, integration issues, and the need for skilled personnel. The paper concludes with recommendations for effectively implementing AI solutions to maximize their benefits while navigating potential pitfalls. (shrink)

In “The Semantics of Racial Slurs,” an article recently published in Linguistic and Philosophical Investigations, Hedger draws upon Kaplan’s distinction between descriptive and expressive content to argue that slurs are expressions with purely expressive content. Here I review the key considerations presented by Hedger in support of his purely expressive account of slurs and provide clear reasons for why it must ultimately be rejected. After reviewing the key cases Hedger offers for consideration in support of his view that slurs are (...) expressions with purely expressive content, this article provides a critical evaluation of these cases, pointing out at least 13 ways in which his purely expressive analysis of slurs fails. In considering the 13 ways in which the purely expressive analysis of slurs remains inadequate, this article concludes with the suggestion that an adequate account of slurs will ultimately involve not only an expressive aspect but a descriptive aspect also. (shrink)

In this paper I argue that there would be no obligatory maxims if the only standards for assessing maxims were Kant’s universalizability tests. The paper is divided into five sections. In the first, I clarify my thesis: I define my terms and disambiguate my thesis from other related theses for which one might argue. In the second, I confront the view that says that if a maxim passes the universalizability tests, then there is a positive duty to adopt that maxim; (...) I also confront a close relative of this view. In the third, I confront the view that says that if a maxim does not pass the universalizability tests, then there is a positive duty to adopt the contradictory of that maxim. In the fourth, I confront two variations of the view that says that if a maxim does not pass the universalizability tests and an agent is deliberating about the action in the maxim, then the agent has a positive duty to adopt the contrary of that maxim. In the fifth, I confront the view that says that if an agent has adopted a maxim of ends, then the agent has a positive duty to universalize that end. I then wrap up the paper with some concluding remarks. (shrink)

Poverty has traditionally been conceived of as a state of deprivation. To be poor is to lack something essential to human flourishing. How that something is understood—in terms of welfare, resources, or capabilities—and how it is measured—in absolute terms or relative to a social standard—has been the subject of much debate within the development literature. In this paper, I put forward an account of poverty rooted in the philosophy of action. I argue that poverty essentially involves being in a context (...) in which a reasonable agent’s future-directed agency is systemically undermined. Centering this dimension of poverty allows us to attend to aspects of poverty that are easily overlooked on existing accounts. (shrink)

Many scholars of organizations see social enterprise as a promising approach to advancing social justice but neglect to scrutinize the normative foundations and limitations of this optimism. This article draws on Rawlsian political philosophy to investigate whether and how social enterprises can support social justice. We propose that this perspective assigns organizations a duty to foster institutional capacity, a concept we define and elaborate. We investigate how this duty might apply specifically to social enterprises, given their characteristic features. We theorize (...) six different mechanisms through which social enterprises might successfully discharge this duty. These results affirm the value of conversation between organizational studies and political philosophy and shed new light on debates regarding social enterprise, institutional theory, and several other topics. (shrink)

A commonly raised criticism against celebrity culture is that it celebrates people who become famous without any connection to their skills, talents or achievements. A culture in which people become famous simply for being famous is criticized for being shallow and inauthentic. In this paper we offer a defence of celebrity by arguing against this criticism. We begin by outlining what we call the Talent Argument: celebrity is a negative cultural phenomenon because it creates and sustains fame without any connection (...) to the accomplishments that arise from an expression of talent or skill. By appealing to the metaphysics of talent and skill, we argue against the Talent Argument and propose that being a celebrity requires the skills that are necessary to acquire and maintain one’s status as a celebrity. A celebrity is more likely to be talented and successful in their expression of these skills, and even celebrities who are ‘famous for being famous’ will often display talents and skills that give rise to their fame. This means that those who critique celebrity culture should not do so by appealing to the Talent Argument. We show how our account of celebrity, talent and skill works to reject both the strong version of the Talent Argument, as well as a weaker and more plausible version of the argument we call the Valuable Talents argument. We conclude by noting that our analysis has demonstrated the need to explore more closely the kinds of skills that are necessary to cultivate celebrity status. This allows for a more nuanced understanding of what a celebrity is, and the values that are attached to celebrity culture. (shrink)

Building on my previous exploration of the role of dance in the contemporary French political philosopher Jacques Rancière’s Aisthesis: Scenes from the Aesthetic Regime of Art, first published in French in 2011, the present essay turns to another book originally published in the same year, The Intervals of Cinema. Having previously established that the core of Rancière’s philosophical method is an analysis of philosophical homonyms into figurative dancing conceptual partners, I begin by applying that method to the first chapter of (...) Intervals, “Cinematic Vertigo: Hitchcock to Vertov and Back.” There I identify two series of such dancing partners, as follows: Hitchcock’s image-controlling, capitalist vertiginous fall, and Vertov’s movement-equalizing, communist balanced dance. I then critique the implicit marginalizing of women and female bodies in the films and chapter, including Hitchcock’s protagonist’s best friend and ex-fiancé, and Vertov’s cosmetologists and switchboard operators. Finally, I offer a corrective from the proto-feminist life of my grandmother, a onetime cosmetologist, switchboard operator, and Glamour Shots amateur model, my grandmother, Louise Nunnelley, or “Mamaw.” Such are the unacknowledged material basis of Rancière’s radical democratic philosophy, the specifically-embodied and positioned female dancers who continue to get lost in his figurative dance. (shrink)

This project was provoked by the almost nonexistent pushback from the Democratic liberal establishment to the (2020) exoneration of Kyle Rittenhouse, despite his acknowledged killing of two Black Lives Matters protesters against the police murder of George Floyd. It builds on three prior articles arguing for the revival of ancient Dionysian practice, Haitian Vodou, and Indigenous South American shamanism to empower leftist revolution. In essence, I propose an assemblage of spiritual practices that are accessible today for the neo-colonized 99% of (...) the global population, by synthesizing and reconstructing three democratic, lower-SES, Indigenous religions, all of which share a militant defiance of their respective tyrannical plutocracies. To avoid cultural appropriation, I center these reconstructed spiritual practices on the figure of the “mage,” a psychosocial healer loosely analogous to a shaman. And the mage’s signature activity, “magic,” I redefine naturalistically as free interpersonal performative action, practiced using two theoretical disciplines (philosophy and psychology) and two practical disciplines chosen by each mage. More precisely, Spirit/Dance channels the “spirits” of dead ancestors, historical figures, legendary heroes, mythical beings, and fictional characters, into the three ultimate objectives of “mindfulness” for psyches/souls, “liberation” for mindful bodies, and “social justice” for liberated communities, indirectly empowering long-term revolution. (shrink)

Philosophy and Phenomenological Research, Volume 104, Issue 3, Page 728-746, May 2022.

Numerous societal issues, from climate change to pandemics, require public engagement with scientific research. Such engagement reveals challenges that can arise when experts communicate with laypeople. One of the most common frameworks for framing these communicative interactions is the deficit model of science communication, which holds that laypeople lack scientific knowledge and/or positive attitudes towards science, and that imparting knowledge will fill knowledge gaps, lead to desirable attitude/behavior changes, and increase trust in science. §1 introduces the deficit model in more (...) detail and shows that adhering to this model often fails to achieve its aims, which motivates the main question of this chapter: how can Ludwik Fleck’s theory of thinking collectives address the persistent problem of deficit approaches in science communication? I suggest that it can do so by exposing the deficit model’s implicit assumption of an expert-lay divide. Accordingly, §2 lays out Fleck’s theory and §3 contrasts it with contemporary debates about science communication. Following this descriptive work, §4 draws on Fleck’s ideas to make four concrete suggestions for further questioning the expert-lay divide. (shrink)

Aristotle argued that you need some wealth to live well. The Stoics argued that you could live well with or without wealth. But the Cynics argued that wealth is a hinderance. For the Cynics, a good life consists in self-sufficiency, or being able to rule and help yourself. You accomplish this by living simply and naturally, and by subjecting yourself to rigorous philosophical exercises. Cynics confronted people to get them to abandon extraneous possessions and positions of power to live better. (...) And while the Cynics were experts in living in this way, their ascetic lifestyles made their message curious to some audiences. This paper reflects on Cynic ascetic practices and the ways others perceived them. (shrink)

This contribution aims to explore the historical predecessors of the Five Percenter model of self-realization, as popularized by Hip Hop artists such as Supreme Team, Rakim Allah, Brand Nubian, Wu-Tang Clan, or Sunz of Man. As compared to frequent considerations of the phenomenon as a creative mythological background for a socio-political struggle, Five Percenter teachings shall be discussed as contemporary interpretations of historical models of self-realization in various philosophical, religious, and esoteric systems. By putting the coded system of the tenfold (...) Supreme Mathematics as one of its core teachings in context with the Pythagorean Tetractys, an arrangement of ten points in four lines, the commonalities between the sequence and concepts attributed to the respective numbers will be demonstrated. (shrink)

Knowledge representation (KR) is actually more than representation: It involves also inference, namely inference of “new” knowledge, i.e. new facts. Logic programming is a suitable KR medium, but more often than not discussions on this programming paradigm focus on aspects other than KR. In this paper, I elaborate on the general theory of logic programming and give the essentials of two of its main implementations, to wit, Prolog and Datalog, from the viewpoint of deductive computing over knowledge bases, which includes (...) deductive programming. (shrink)

This paper explores the complex nature of social biases, arguing for a functional framework that recognizes their unity and diversity. The functional approach posits that all biases share a common functional role in overcoming underdetermination. This framework, I argue, provides a comprehensive understanding of how all psychological biases, including social biases, are unified. I then turn to the question of disunity, demonstrating how psychological social biases differ systematically in the mental states and processes that constitute them. These differences indicate that (...) biases at various levels of the cognitive architecture require distinct treatment along at least two dimensions: epistemic evaluation and mitigation strategies. By examining social biases through this dual lens of unity and diversity, we can more effectively identify when and how to intervene on problematic biases. Ultimately, this approach provides a nuanced understanding of the nature of social bias, offering practical guidance for addressing existing biases and proactively managing emerging biases in both human and artificial minds. (shrink)

The policy of earmarked paternity leave aims to promote mothers’ position in the labor market and fathers’ relationship with their child. Critics argue that the policy prevents parents from pursuing their own ideas about what is best for them. This provides reason to consider whether the policy is paternalistic or, in other ways, disrespectful of parental autonomy. I argue that the state implicates itself in the gender inequalities that result from parents’ unequal parental leave agreements when the state financially facilitates (...) such agreements. This argument for earmarked paternity leave is not disrespectful of parental autonomy. (shrink)