The concept of lifeworld as posited by Husserl and developed by Schutz reveals key aspects of human social life. What happens when organized forces of human control tear lifeworlds apart? Gebser warned that without a transformation of consciousness humans would destroy their world. Habermas pointed out that humans were destroying lifeworlds with little awareness of the consequences due to the predominance of rational/legal thinking, thus creating “Deathworlds”. Transformative Phenomenology has become a community-of-practice that is an antidote to Deathworld-Making. Transformative phenomenology (...) includes hermeneutics, somatics and leregogic practices and phenomenologists trained in this way exhibit ten qualities of being. We offer the Rising Sun project, a phenomenologically based social innovation, as a case example. The call to maintain and restore lifeworlds is the call to oneness and peace. In the era of growing Deathworlds, we, phenomenologists, are urged to respond and contribute to this call. (shrink)

This paper is a reflection on the boundaries of academic discourse as I came to be acutely aware of them while attempting to teach a graduate seminar in qualitative research methods. The purpose of the readings in Husserl and Schutz and the writing exercises was to assist students trained in quantitative methods and steeped in positivistic assumptions about research to write phenomenological descriptions of lived experience. Paul could not write the assigned papers due to a diagnosed writing disability but he (...) did submit fictional stories and sketches which beautifully illustrated the concepts of Husserl and Schutz. Paul's disability presented a natural bracketing experiment which brought the positivistic assumptions surrounding academic research and writing to the forefront. I engaged in verbal dialogues with Paul, in which he discussed the philosophical ideas. My work with Paul highlighted the extent to which the academic lifeworld marginalizes those who seek to write from the heart, disguising even the work of those philosophers who wish to uncover direct experiences.The crisis of the sciences is the loss of meaning for life. (Husserl, 1970: 5). (shrink)

Hisashi Nasu, Lester Embree, George Psathas, and Ilja Srubar (eds.), Alfred Schutz and His Intellectual Partners; Sandra P. Thomas and Howard R. Pollio, Listening to Patients, A Phenomenological Approach to Nursing Research and Practice; Matthew Ratcliffe, Rethinking Commonsense Psychology: A Critique of Folk Psychology, Theory of Mind and Simulation.

Hisashi Nasu, Lester Embree, George Psathas, and Ilja Srubar (eds.), Alfred Schutz and His Intellectual Partners; Sandra P. Thomas and Howard R. Pollio, Listening to Patients, A Phenomenological Approach to Nursing Research and Practice; Matthew Ratcliffe, Rethinking Commonsense Psychology: A Critique of Folk Psychology, Theory of Mind and Simulation.

The fourteen authors in this collection used phenomenology and hermeneutics to conduct deep inquiry into perplexing and wondrous events in their work and personal lives. These seasoned scholar-practitioners gained remarkable insight into areas such as health care and illness, organ donation, intercultural communications, high-performance teams, artistic production, jazz improvisation, and the integration of Tai Chi into education. All authors were transformed by phenomenology's expanded ways of seeing and being.

Sugar, pork, beer, corn, cider, scrapple, and hoppin' John all became staples in the diet of colonial America. The ways Americans cultivated and prepared food and the values they attributed to it played an important role in shaping the identity of the newborn nation. In A Revolution in Eating, James E. McWilliams presents a colorful and spirited tour of culinary attitudes, tastes, and techniques throughout colonial America. Confronted by strange new animals, plants, and landscapes, settlers in the colonies and West (...) Indies found new ways to produce food. Integrating their British and European tastes with the demands and bounty of the rugged American environment, early Americans developed a range of regional cuisines. From the kitchen tables of typical Puritan families to Iroquois longhouses in the backcountry and slave kitchens on southern plantations, McWilliams portrays the grand variety and inventiveness that characterized colonial cuisine. As colonial America grew, so did its palate, as interactions among European settlers, Native Americans, and African slaves created new dishes and attitudes about food. McWilliams considers how Indian corn, once thought by the colonists as "fit for swine," became a fixture in the colonial diet. He also examines the ways in which African slaves influenced West Indian and American southern cuisine. While a mania for all things British was a unifying feature of eighteenth-century cuisine, the colonies discovered a national beverage in domestically brewed beer, which came to symbolize solidarity and loyalty to the patriotic cause in the Revolutionary era. The beer and alcohol industry also instigated unprecedented trade among the colonies and further integrated colonial habits and tastes. Victory in the American Revolution initiated a "culinary declaration of independence," prompting the antimonarchical habits of simplicity, frugality, and frontier ruggedness to define American cuisine. McWilliams demonstrates that this was a shift not so much in new ingredients or cooking methods, as in the way Americans imbued food and cuisine with values that continue to shape American attitudes to this day. (shrink)

Deep neural networks (DNNs) have had extraordinary successes in classifying photographic images of objects and are often described as the best models of biological vision. This conclusion is largely based on three sets of findings: (1) DNNs are more accurate than any other model in classifying images taken from various datasets, (2) DNNs do the best job in predicting the pattern of human errors in classifying objects taken from various behavioral datasets, and (3) DNNs do the best job in predicting (...) brain signals in response to images taken from various brain datasets (e.g., single cell responses or fMRI data). However, these behavioral and brain datasets do not test hypotheses regarding what features are contributing to good predictions and we show that the predictions may be mediated by DNNs that share little overlap with biological vision. More problematically, we show that DNNs account for almost no results from psychological research. This contradicts the common claim that DNNs are good, let alone the best, models of human object recognition. We argue that theorists interested in developing biologically plausible models of human vision need to direct their attention to explaining psychological findings. More generally, theorists need to build models that explain the results of experiments that manipulate independent variables designed to test hypotheses rather than compete on making the best predictions. We conclude by briefly summarizing various promising modeling approaches that focus on psychological data. (shrink)

“Indulging herself in air and exercise” as she wanders down a lane near the great house of Rosings, Elizabeth Bennet is unaware that she is just about to experience one of her most difficult challenges, and that Mr. Darcy is on his way with his letter.1 Just like present-day personality theorists, Jane Austen manifestly directed a great deal of creative and intellectual energy into devising a great variety of tests. But what are such situations designed to test for? What aspects (...) of character or personality, or traits and abilities, are meant to be scrutinized? A likely response from critics interested in Austen’s ethics is that such challenges should reveal which, if any, of the virtues are in good working order. .. (shrink)

It is fortunate for the community in which she lives that one of the things about which Elinor Dashwood cares a great deal is the social duty of “general civility”—the practice, in Hume’s words, of “gentle usage.” The heroine of Sense and Sensibility is respectful and considerate toward others, whether or not these are dearly loved family members or comparative strangers. According to Karen Stohr, throughout the novel, “Elinor is the exemplar of moderation, propriety and moral rectitude,” and the reader’s (...) assessment is seemingly quite straightforward: we can rest assured that although others may be unscrupulous, self-aggrandizing, and/or self-deceiving, Elinor Dashwood is virtuous from beginning to end.1.. (shrink)

To Wayne Booth it was clear, authors seek to exert control and writers like Jane Austen endeavor to satisfy this imperative through rhetorical techniques that may include the creation of a wise male figure who can be counted upon to provide the necessary guidance for flawed heroine and reader alike. We require help "to direct our reactions," and thus throughout Austen's novel Emma, her hero and "chief corrective," Mr. Knightley, stands in the reader's mind for what Emma lacks.1 Subsequent scholars (...) have questioned Booth's interpretation of Mr. Knightley's role and narrative status, and the subtitle of Mary Waldron's influential essay—"The Confusions of Mr. Knightley"—anticipates her views on the subject.2In... (shrink)

BackgroundArtificial intelligence has been described as the “fourth industrial revolution” with transformative and global implications, including in healthcare, public health, and global health. AI approaches hold promise for improving health systems worldwide, as well as individual and population health outcomes. While AI may have potential for advancing health equity within and between countries, we must consider the ethical implications of its deployment in order to mitigate its potential harms, particularly for the most vulnerable. This scoping review addresses the following question: (...) What ethical issues have been identified in relation to AI in the field of health, including from a global health perspective?MethodsEight electronic databases were searched for peer reviewed and grey literature published before April 2018 using the concepts of health, ethics, and AI, and their related terms. Records were independently screened by two reviewers and were included if they reported on AI in relation to health and ethics and were written in the English language. Data was charted on a piloted data charting form, and a descriptive and thematic analysis was performed.ResultsUpon reviewing 12,722 articles, 103 met the predetermined inclusion criteria. The literature was primarily focused on the ethics of AI in health care, particularly on carer robots, diagnostics, and precision medicine, but was largely silent on ethics of AI in public and population health. The literature highlighted a number of common ethical concerns related to privacy, trust, accountability and responsibility, and bias. Largely missing from the literature was the ethics of AI in global health, particularly in the context of low- and middle-income countries.ConclusionsThe ethical issues surrounding AI in the field of health are both vast and complex. While AI holds the potential to improve health and health systems, our analysis suggests that its introduction should be approached with cautious optimism. The dearth of literature on the ethics of AI within LMICs, as well as in public health, also points to a critical need for further research into the ethical implications of AI within both global and public health, to ensure that its development and implementation is ethical for everyone, everywhere. (shrink)

As of this writing, twenty‐one states have passed laws barring transgender youth‐athletes from competing on public‐school sports teams in accordance with their gender identity. Proponents of these regulations claim that transgender females in particular have inherent physiological advantages that threaten a “level playing field” for their cisgender competitors. Existing evidence is limited but does not support these restrictions. Gathering more robust data will require allowing transgender youth to compete (rather than preemptively barring them), but even if trans females are shown (...) to retain some advantage, this would not have greater moral significance than the many other “fair” physical and economic advantages found across sports. These regulations deprive transgender youth, an exceptionally vulnerable population, from the vast physical, mental, and social benefits of sports. While we advocate for transgender inclusion under our current, gender‐segregated model of sport, we propose changes to the overarching structure that would promote a more inclusive and fairer athletic environment. (shrink)

Social problems such as racism, sexism, and inequality are often cited as structural rather than individual in nature. What does it mean to invoke a social structural explanation, and how do such explanations relate to individualistic ones? This article explores recent philosophical debates concerning the nature and usages of social structural explanation. I distinguish between two central kinds of social structural explanation: those that are autonomous from psychology, and those that are not. This distinction will help clarify the explanatory power (...) that each type of SSE has, points of convergence with methodological traditions such as critical theory and rational choice theory, and the difficulties that each type of SSE faces. (shrink)

(2014). Tin Men: Ethics, Cybernetics and the Importance of Soul. Journal of Military Ethics: Vol. 13, No. 1, pp. 3-19. doi: 10.1080/15027570.2014.908011.

To what extent should we focus on implicit bias in order to eradicate persistent social injustice? Structural prioritizers argue that we should focus less on individual minds than on unjust social structures, while equal prioritizers think that both are equally important. This article introduces the framework of transactive memory into the debate to defend the equal priority view. The transactive memory framework helps us see how structure can emerge from individual interactions as an irreducibly social product. If this is right, (...) then debiasing interventions are structural interventions. One upshot is that the utility of the individual versus structural distinction is not apparent for the purposes of intervention. (shrink)

How should you live? Should you devote yourself to perfecting a single talent or try to live a balanced life? Should you lighten up and have more fun, or buckle down and try to achieve greatness? Should you try to be a better friend? Should you be self-critical or self-accepting? And how should you decide among the possibilities open to you? Should you consult experts, listen to your parents, or should you do lots of research? Should you make lists of (...) pros and cons, or go with your gut? These are not questions that can be answered in general or in the abstract. Rather, these questions are addressed to the first person point of view, to the perspective each of us occupies when we reflect on how to live without knowing exactly what we're aiming for. To answer them, this book focuses on the process of living one's life from the inside, rather than on defining goals from the outside. Drawing on traditional philosophical sources as well as literature and recent work in social psychology, this book argues that to live well, we need to develop reflective wisdom: to care about things that will sustain us and give us good experiences, to have perspective on our successes and failures, and to be moderately self-aware and cautiously optimistic about human nature. Further, we need to know when to think about our values, character, and choices, and when not to. A crucial part of wisdom, the book maintains, is being able to shift perspectives: to be self-critical; to be realistic; to examine life when reflection is appropriate, but not when we should lose ourselves in experience. (shrink)

This study presents original evidence that abstract and concrete concepts are organized and represented differently in the mind, based on analyses of thousands of concepts in publicly available data sets and computational resources. First, we show that abstract and concrete concepts have differing patterns of association with other concepts. Second, we test recent hypotheses that abstract concepts are organized according to association, whereas concrete concepts are organized according to (semantic) similarity. Third, we present evidence suggesting that concrete representations are more (...) strongly feature-based than abstract concepts. We argue that degree of feature-based structure may fundamentally determine concreteness, and we discuss implications for cognitive and computational models of meaning. (shrink)

What is well-being? This is one of humanity's oldest and deepest questions; Valerie Tiberius offers a fresh answer. She argues that our lives go well to the extent that we succeed in what matters to us emotionally, reflectively, and over the long term. So when we want to help others achieve well-being, we should pay attention to their values.

It is commonly accepted that what we ought to do collectively does not imply anything about what each of us ought to do individually. According to this line of reasoning, if cooperating will make no difference to an outcome, then you are not morally required to do it. And if cooperating will be personally costly to you as well, this is an even stronger reason to not do it. However, this reasoning results in a self-defeating, yet entirely predictable outcome. If (...) everyone is rational, no one will cooperate, resulting in an aggregate outcome that is devastating for everyone. This dismal analysis explains why climate change and other collective action problems are so difficult to ameliorate. The goal of this paper is to provide a different, exploratory framework for thinking about individual reasons for action in collective action problems. I argue that the concept of commitment gives us a new perspective on collective action problems. Once we take the structure of commitment into account, this activates requirements of diachronic rationality that give individuals instrumental reasons to cooperate in collective action problems. (shrink)

While many models of ethical decision-making in marketing have been presented in the literature, no recent attempts have been made to explicitly account for ethical decision-making from a marketing research perspective. We present an ethical framework for marketing research, the various philosophies of ethics, and a few enduring marketing ethical decision-making models, thus laying the foundation for a descriptive model for ethics in marketing research. The authors then develop an integrated model of ethical decision-making that incorporates the perspectives of all (...) parties involved in the process of making ethical marketing research decisions, the various philosophies, and external variables. The proposed model is compared with some of the models considered in the literature and illustrated with a marketing research application. (shrink)

This paper argues that some widely used laws of implication are false, and arguments based upon them invalid. These laws are Exportation, Commutation, (as well as various restricted forms of these), Exported Syllogism and Disjunctive Syllogism. All these laws are false for the same reason – that they license the suppression or replacement in some position of some class of propositions which cannot legitimately be suppressed or replaced. These laws fail to preserve the property of sufficiency of premiss set for (...) conclusion. They are false, and can be seen to be false, independently of their respon- sibility for the paradoxes. Hence the main ‘independent’ argument for the paradoxes – that they follow from an allegedly immaculate set of laws – is undermined. Counterexamples to all these laws are produced. (shrink)

While the research programs in early cognitive science and artificial intelligence aimed to articulate what cognition was in ideal terms, much research in contemporary computational neuroscience looks at how and why brains fail to function as they should ideally. This focus on impairment affects how we understand David Marr's hypothesized three levels of understanding. In this essay, we suggest some refinements to Marr's distinctions using a population activity model of cortico-striatal circuitry exploring impulsivity and behavioral inhibition as a case study. (...) In particular, we urge that Marr's computational level should be redefined to include a description of how systems break down. We also underscore that feed-forward processing, cognition disconnected from behavioral context, and representations do not always drive cognition in the way that Marr originally assumed. (shrink)