Smith argues that, unlike other forms of evidence, naked statistical evidence fails to satisfy normic support. This is his solution to the puzzles of statistical evidence in legal proof. This paper focuses on Smith’s claim that DNA evidence in cold-hit cases does not satisfy normic support. I argue that if this claim is correct, virtually no other form of evidence used at trial can satisfy normic support. This is troublesome. I discuss a few ways (...) in which Smith can respond. (shrink)

In this paper I respond to Marcello Di Bello’s criticisms of the ‘normic account’ of the criminal standard of proof. In so doing, I further elaborate on what the normic account predicts about certain significant legal categories of evidence, including DNA and fingerprint evidence and eyewitness identifications.

There is much to like about the idea that justification should be understood in terms of normality or normic support (Smith 2016, Goodman and Salow 2018). The view does a nice job explaining why we should think that lottery beliefs differ in justificatory status from mundane perceptual or testimonial beliefs. And it seems to do that in a way that is friendly to a broadly internalist approach to justification. In spite of its attractions, we think that the (...) class='Hi'>normic support view faces two serious challenges. The first is that it delivers the wrong result in preface cases. These cases suggest that the view is either too sceptical or too externalist. The second is that the view struggles with certain kinds of Moorean absurdities. It turns out that these problems can easily be avoided. If we think of normality as a condition on *knowledge*, we can characterise justification in terms of its connection to knowledge and thereby avoid the difficulties discussed here. The resulting view does an equally good job explaining why we should think that our perceptual and testimonial beliefs are justified when lottery beliefs cannot be. Thus, it seems that little could be lost and much could be gained by revising the proposal and adopting a view on which it is knowledge, not justification, that depends directly upon normality. (shrink)

This book explores a question central to philosophy--namely, what does it take for a belief to be justified or rational? According to a widespread view, whether one has justification for believing a proposition is determined by how probable that proposition is, given one's evidence. In this book this view is rejected and replaced with another: in order for one to have justification for believing a proposition, one's evidence must normically support it--roughly, one's evidence must make the falsity of that (...) proposition abnormal in the sense of calling for special, independent explanation. This conception of justification bears upon a range of topics in epistemology and beyond. Ultimately, this way of looking at justification guides us to a new, unfamiliar picture of how we should respond to our evidence and manage our own fallibility. This picture is developed here. (shrink)

Martin Smith has recently proposed, in this journal, a novel and intriguing approach to puzzles and paradoxes in evidence law arising from the evidential standard of the Preponderance of the Evidence. According to Smith, the relation of normic support provides us with an elegant solution to those puzzles. In this paper I develop a counterexample to Smith’s approach and argue that normic support can neither account for our reluctance to base affirmative verdicts on bare statistical evidence (...) nor resolve the pertinent paradoxes. Normic support is, as a consequence, not a successful epistemic anti-luck condition. (shrink)

In order to perform certain actions – such as incarcerating a person or revoking parental rights – the state must establish certain facts to a particular standard of proof. These standards – such as preponderance of evidence and beyond reasonable doubt – are often interpreted as likelihoods or epistemic confidences. Many theorists construe them numerically; beyond reasonable doubt, for example, is often construed as 90 to 95% confidence in the guilt of the defendant. -/- A family of influential cases suggests (...) standards of proof should not be interpreted numerically. These ‘proof paradoxes’ illustrate that purely statistical evidence can warrant high credence in a disputed fact without satisfying the relevant legal standard. In this essay I evaluate three influential attempts to explain why merely statistical evidence cannot satisfy legal standards. (shrink)

Abstract: When do we meet the standard of proof in a criminal trial? Some have argued that it is when the guilt of the defendant is sufficiently probable on the evidence. Some have argued that it is a matter of normic support. While the first view provides us with a nice account of how we ought to manage risk, the second explains why we shouldn’t convict on the basis of naked statistical evidence alone. Unfortunately, this second view doesn’t (...) help us understand how we should manage risk (e.g., the risk of violating rights against wrongful conviction) and faces counterexamples of its own. I shall defend an alternative approach that builds on the strengths of these two accounts. On the approach defending here, it is objectively suitable to punish iff we know a defendant to be guilty. To determine what is consistent with procedural justice and to determine what we prospectively ought to do, we need to think about the risks we face of deviating from this objective ideal. (shrink)

Can the evidence provided by software systems meet the standard of proof for civil or criminal cases, and is it individualized evidence? Or, to the contrary, do software systems exclusively provide bare statistical evidence? In this paper, we argue that there are cases in which evidence in the form of probabilities computed by software systems is not bare statistical evidence, and is thus able to meet the standard of proof. First, based on the case of State v. Loomis, we investigate (...) recidivism predictions provided by software systems used in the courtroom. Here, we raise problems for software systems that provide predictions that are based on bare statistical evidence. Second, by examining the case of People v. Chubbs, we argue that the statistical evidence provided by software systems in cold hit DNA cases may in some cases suffice for individualized evidence, on a view on which individualized evidence is evidence that normically supports the relevant proposition (Smith, in Mind 127:1193–1218, 2018). (shrink)

There is something puzzling about statistical evidence. One place this manifests is in the law, where courts are reluctant to base affirmative verdicts on evidence that is purely statistical, in spite of the fact that it is perfectly capable of meeting the standards of proof enshrined in legal doctrine. After surveying some proposed explanations for this, I shall outline a new approach – one that makes use of a notion of normalcy that is distinct from the idea of statistical frequency. (...) The puzzle is not, however, merely a legal one. Our unwillingness to base beliefs on statistical evidence is by no means limited to the courtroom, and is at odds with almost every general principle that epistemologists have proposed as to how we ought to manage our beliefs. (shrink)

According to a captivating picture, epistemic justification is essentially a matter of epistemic or evidential likelihood. While certain problems for this view are well known, it is motivated by a very natural thought—if justification can fall short of epistemic certainty, then what else could it possibly be? In this paper I shall develop an alternative way of thinking about epistemic justification. On this conception, the difference between justification and likelihood turns out to be akin to the more widely recognised difference (...) between ceteris paribus laws and brute statistical generalisations. I go on to discuss, in light of this suggestion, issues such as classical and lottery-driven scepticism as well as the lottery and preface paradoxes. (shrink)

The standard of proof applied in civil trials is the preponderance of evidence, often said to be met when a proposition is shown to be more than 50% likely to be true. A number of theorists have argued that this 50%+ standard is too weak – there are circumstances in which a court should find that the defendant is not liable, even though the evidence presented makes it more than 50% likely that the plaintiff’s claim is true. In this paper, (...) I will recapitulate the familiar arguments for this thesis, before defending a more radical one: The 50%+ standard is also too strong – there are circumstances in which a court should find that a defendant is liable, even though the evidence presented makes it less than 50% likely that the plaintiff’s claim is true. I will argue that the latter thesis follows naturally from the former once we accept that the parties in a civil trial are to be treated equally. I will conclude by sketching an alternative interpretation of the civil standard of proof. (shrink)

© The Author 2017. Published by Oxford University Press on behalf of The Analysis Trust. All rights reserved. For Permissions, please email: [email protected] traditional picture of justification affirms the following: a belief is justified when it is sufficiently likely on one’s evidence. Over and against this well-received conception, Smith’s Between Probability and Certainty: What Justifies Belief develops an alternative: the normic support conception of justification. While likelihoods constitute the core feature of the risk minimization picture, the normic (...) support conception replaces likelihoods with normalcy. The book offers a clear discussion of the shortcomings of the risk minimalization conception combined with an ambitious defence of the normic support conception.‘Normality’, according to Smith, is tied to our inclinations to look for further explanations: abnormal events require an explanation; normal events carry no such demand. For example, it is normal for someone to win the lottery. When we hear that... (shrink)

NOTE: This paper is a reworking of some aspects of an earlier paper – ‘What else justification could be’ and also an early draft of chapter 2 of Between Probability and Certainty. I'm leaving it online as it has a couple of citations and there is some material here which didn't make it into the book (and which I may yet try to develop elsewhere). My concern in this paper is with a certain, pervasive picture of epistemic justification. On this (...) picture, acquiring justification for believing something is essentially a matter of minimising one’s risk of error – so one is justified in believing something just in case it is sufficiently likely, given one’s evidence, to be true. This view is motivated by an admittedly natural thought: If we want to be fallibilists about justification then we shouldn’t demand that something be certain – that we completely eliminate error risk – before we can be justified in believing it. But if justification does not require the complete elimination of error risk, then what could it possibly require if not its minimisation? If justification does not require epistemic certainty then what could it possibly require if not epistemic likelihood? When all is said and done, I’m not sure that I can offer satisfactory answers to these questions – but I will attempt to trace out some possible answers here. The alternative picture that I’ll outline makes use of a notion of normalcy that I take to be irreducible to notions of statistical frequency or predominance. (shrink)

Normic laws have the form "if A, then normally B". This paper attempts to show that if a philosophical analysis of normic laws (1, 4) is combined with certain developments in nonmono- tonic logic (2, 3), the following problems in philosophy of science can be seen in a new pers- pective which, at least in many cases, allows to improve their received analysis: explanation and individual case understanding in the humanities (1, 2), an evolution-theoretic foundation of normic (...) laws which explains their omnipresence and establishes a the connection between prototypi- cal and statstical normality, (¤4), ceteris paribus laws (¤5), differences between physical versus non-physical sciences (¤6) and finally, theory-protection through auxiliary hypotheses (¤7). (shrink)

I critically discuss Gerhard Schurz’ improved version of Hempel’s covering law model as the model appropriate for human action explanation in the historical sciences. Schurz takes so-called “normic laws” as the best means to save Hempel’s covering law model from the objection that there are no strict laws in historiography. I criticize Schurz approach in two respects: 1) Schurz falsely takes Dray’s account of historical explanations to be a normic law account. 2) Human action explanation in terms of (...) goals and means-ends-beliefs are not based on normic laws at all, for the explanandum in an explanation follows from the volitional and doxastic premises alone. To show this, I argue that there is a conceptual connection between volition and action, rooted in our actual usage of volitional concepts. Ultimately, a difference in principle between the methods of explanation in science and historiography has to be acknowledged. (shrink)

Recently, Martin Smith defended a view he called the “normic de minimis expected utility theory”. The basic idea is to integrate a ‘normic’ version of the de minimis principle into an expected utility-based decision theoretical framework. According to the de minimis principle some risks are so small (falling below a threshold) that they can be ignored. While this threshold standardly is defined in terms of some probability, the normic conception of de minimis defines this threshold in terms (...) of abnormality. In this article, we present three independent arguments against the normic de minimis expected utility theory, focusing on its reliance on the de minimis principle. (shrink)

Today, soft computing is a field that is used a lot in solving real-world problems, such as problems in economics, finance, banking... With the aim to serve for solving the real problem, many new theories and/or tools which were proposed, improved to help soft computing used more efficiently. We can mention some theories as fuzzy sets theory (L. Zadeh, 1965), intuitionistic fuzzy set (K Atanasov, 1986), neutrosophic set (F. Smarandache 1999). In this paper, we introduce a new notion of sup (...) port-neutrosophic set (SNS), which is the combination a neutrosophic set with a fuzzy set. So, SNS set is a direct extension of fuzzy set and neutrosophic sets (F. Smarandache). Then, we define some operators on the support-neutrosophic sets, and investigate some properties of these operators. (shrink)

This paper aims to identify the decision support systems and their role on the strategic management development in the Universities- Case Study: Islamic University of Gaza. The descriptive approach was used where a questionnaire was developed and distributed to a stratified random sample. (230) questionnaires were distributed and (204) were returned with response rate (88.7%). The most important findings of the study: The presence of a statistically significant positive correlation between the decision support systems and strategic management in (...) the Islamic University in Gaza, and this shows that there is a role for decision support systems in strategic management development. The senior management is convinced of the importance of strategic management of the organization, and this conviction paid to clearly understand the process of the development of strategic management and thus led to a commitment to this process to improve its performance. There is an impact on the strategic management of the capabilities available for the use of decision support systems, and the type of decision support systems used, while there is little effect of top management support for the use of decision support systems. Also, the results showed that there were no statistically significant differences between the averages of the respondents answers attributed to personal data. The research also concluded a series of recommendations: The Islamic University of Gaza need to develop its infrastructure of decision support systems when it develops the strategic management. It should increase its interest in organizational potential through the necessity of a separate unit for decision support systems. As well as increased interest in the physical and technical capabilities available to decision support systems through continuity in keeping pace with technological means and techniques, continued support of senior management in the organization of strategic management for its positive role on decision support systems, that senior management will continue in the organization in creating a culture of strategic management, and it should encourage employees to participate in the strategic management process. (shrink)

Normic laws have the form "if A, then normally B." They are omnipresent in everyday life and non-physical 'life' sciences such as biology, psychology, social sciences, and humanities. They differ significantly from ceteris-paribus laws in physics. While several authors have doubted that normic laws are genuine laws at all, others have argued that normic laws express a certain kind of prototypical normality which is independent of statistical majority. This paper presents a foundation for normic laws which (...) is based on generalized evolution theory and explains their omnipresence, lawlikeness, and reliability. It is argued that the fact that normic laws are a product of evolution must establish a systematic connection between prototypical and statistical normality. (shrink)

Maintaining systems of military plans is critical for military effectiveness, but is also challenging. Plans will become obsolete as the world diverges from the assumptions on which they rest. If too many ad hoc changes are made to intermeshed plans, the ensemble may no longer lead to well-synchronized and coordinated operations, resulting in the system of plans becoming itself incoherent. We describe in what follows an Adaptive Planning process that we are developing on behalf of the Air Force Research Laboratory (...) (Rome) with the goal of addressing problems of these sorts through cyclical collaborative plan review and maintenance. The interactions of world state, blue force status and associated plans are too complex for manual adaptive processes, and computer-aided plan review and maintenance is thus indispensable. We argue that appropriate semantic technology can 1) provide richer representation of plan-related data and semantics, 2) allow for flexible, non-disruptive, agile, scalable, and coordinated changes in plans, and 3) support more intelligent analytical querying of plan-related data. (shrink)

Autonomy has been central to moral and political philosophy for millenia, and has been positioned as a critical aspect of both justice and wellbeing. Research in psychology supports this position, providing empirical evidence that autonomy is critical to motivation, personal growth and psychological wellness. Responsible AI will require an understanding of, and ability to effectively design for, human autonomy (rather than just machine autonomy) if it is to genuinely benefit humanity. Yet the effects on human autonomy of digital experiences are (...) neither straightforward nor consistent, and are complicated by commercial interests and tensions around compulsive overuse. This multi-layered reality requires an analysis that is itself multidimensional and that takes into account human experience at various levels of resolution. We borrow from HCI and psychological research to apply a model (“METUX”) that identifies six distinct spheres of technology experience. We demonstrate the value of the model for understanding human autonomy in a technology ethics context at multiple levels by applying it to the real-world case study of an AI-enhanced video recommender system. In the process we argue for the following three claims: 1) There are autonomy-related consequences to algorithms representing the interests of third parties, and they are not impartial and rational extensions of the self, as is often perceived; 2) Designing for autonomy is an ethical imperative critical to the future design of responsible AI; and 3) Autonomy-support must be analysed from at least six spheres of experience in order to approriately capture contradictory and downstream effects. (shrink)

It has been argued by disability advocates that supported decision-making must replace surrogate, or substituted, decision-making for people with cognitive disabilities. From a moral perspective surrogate decision-making it is said to be an indefensible form of paternalism. At the heart of this argument against surrogate decision-making is the belief that such paternalistic action expresses something fundamentally disrespectful about those upon whom it is imposed: that they are inferior, deficient or child-like in some way. Contrary to this widespread belief, I will (...) argue that surrogate decision-making sometimes expresses more respect for people with life-long, ‘severe’ or ‘profound’ cognitive disabilities than does the adoption of supported decision-making.. Specifically, I argue that in some cases supported decision-making can arguably express that people with severe or profound cognitive disabilities lack equal moral value. I also argue that supported decision-making for people with profound cognitive disabilities can arguably express that they lack complex and rich inner lives. If our aim is to ensure our behaviour and practices express respect for people with life-long ‘severe’ or ‘profound’ cognitive disabilities, then sometimes surrogate rather than supportive decision-making will be a better option. (shrink)

In their thoughtful and rigorous article, Peterson and colleagues extend an account of supported decision-making that was originally developed for people with static cognitive impairments, t...

Artificial intelligence (AI) systems are increasingly being used in healthcare, thanks to the high level of performance that these systems have proven to deliver. So far, clinical applications have focused on diagnosis and on prediction of outcomes. It is less clear in what way AI can or should support complex clinical decisions that crucially depend on patient preferences. In this paper, we focus on the ethical questions arising from the design, development and deployment of AI systems to support (...) decision-making around cardiopulmonary resuscitation and the determination of a patient’s Do Not Attempt to Resuscitate status (also known as code status). The COVID-19 pandemic has made us keenly aware of the difficulties physicians encounter when they have to act quickly in stressful situations without knowing what their patient would have wanted. We discuss the results of an interview study conducted with healthcare professionals in a university hospital aimed at understanding the status quo of resuscitation decision processes while exploring a potential role for AI systems in decision-making around code status. Our data suggest that (1) current practices are fraught with challenges such as insufficient knowledge regarding patient preferences, time pressure and personal bias guiding care considerations and (2) there is considerable openness among clinicians to consider the use of AI-based decision support. We suggest a model for how AI can contribute to improve decision-making around resuscitation and propose a set of ethically relevant preconditions—conceptual, methodological and procedural—that need to be considered in further development and implementation efforts. (shrink)

Ethical behavior among businesses has gained significant prominence in recent years. Survey evidence shows that Asian consumers demand for greater social responsibility among businesses. Thus, a deeper understanding of the factors that contribute to such a demand is useful. This study examines the influence of religiosity and values on corporate social responsibility (CSR) support among consumers in Hong Kong and Singapore. Primary data collected among consumers in these cities point to a significant direct relationship between religiosity and CSR (...) class='Hi'>support. In Hong Kong, this attitude is due both to altruistic as well as for egotistical (or face saving) reasons. In Singapore, this is mainly due to the latter. The results imply that different motivations should guide CSR strategies in these two cities. (shrink)

Is evidential support transitive? The answer is negative when evidential support is understood as confirmation so that X evidentially supports Y if and only if p(Y | X) > p(Y). I call evidential support so understood “support” (for short) and set out three alternative ways of understanding evidential support: support-t (support plus a sufficiently high probability), support-t* (support plus a substantial degree of support), and support-tt* (support plus both (...) a sufficiently high probability and a substantial degree of support). I also set out two screening-off conditions (under which support is transitive): SOC1 and SOC2. It has already been shown that support-t is non-transitive in the general case (where it is not required that SOC1 holds and it is not required that SOC2 holds), in the special case where SOC1 holds, and in the special case where SOC2 holds. I introduce two rather weak adequacy conditions on support measures and argue that on any support measure meeting those conditions it follows that neither support-t* nor support-tt* is transitive in the general case, in the special case where SOC1 holds, or in the special case where SOC2 holds. I then relate some of the results to Douven’s evidential support theory of conditionals along with a few rival theories. (shrink)

Supra-Bayesianism is the Bayesian response to learning the opinions of others. Probability pooling constitutes an alternative response. One natural question is whether there are cases where probability pooling gives the supra-Bayesian result. This has been called the problem of Bayes-compatibility for pooling functions. It is known that in a common prior setting, under standard assumptions, linear pooling cannot be nontrivially Bayes-compatible. We show by contrast that geometric pooling can be nontrivially Bayes-compatible. Indeed, we show that, under certain assumptions, geometric and (...) Bayes-compatible pooling are equivalent. Granting supra-Bayesianism its usual normative status, one upshot of our study is thus that, in a certain class of epistemic contexts, geometric pooling enjoys a normative advantage over linear pooling as a social learning mechanism. We discuss the philosophical ramifications of this advantage, which we show to be robust to variations in our statement of the Bayes-compatibility problem. (shrink)

Consider these three positions about physician-assisted suicide:Physician-assisted suicide should be illegal for everyone.Physician-assisted suicide should be legal for only the terminally ill.Physician-assisted suicide should be legal for all competent adults.So far, the debate in America has been primarily between positions 1 and 2. I think it should be between positions 1 and 3. Both those positions embody reasonable viewpoints, and I will not try to decide between them in this chapter. But I will argue that the double standard embodied in (...) position 2 is morally untenable. (shrink)

Over 5 million college students in the United States – nearly one-in-three students currently enrolled – are of immigrant origin, meaning they are either the children of immigrant parents or guardians and/or immigrants themselves. These students accounted for almost 60% of the growth in higher education enrolment in the 21st century. Nevertheless, there is very little research dedicated to this student population's specific experiences of postsecondary education, with similar absences discernible within the realms of higher education policy and practice. Although (...) college campuses are making important progress in building more inclusive spaces, conversations about climate and student care rarely account for the journeys of students of immigrant origin. Featuring 20 chapters written by more than 50 contributors, this book addresses this glaring omission. The authors examine how students of immigrant origin experience the road to, through, and beyond higher education, while, simultaneously, speaking to evidence-based implications for policy, research, and practice. (shrink)

Company support for employee volunteerism (CSEV) benefits companies, employees, and society while helping companies meet the expectations of corporate social responsibility (CSR). A nationally representative telephone survey of 990 Canadian companies examined CSEV through the lens of Porter and Kramer's (2006, 'Strategy and society: the link between competitive advantage and corporate social responsibility', Harvard Business Review, 78-92.) CSR model. The results demonstrated that Canadian companies passively support employee volunteerism in a variety of ways, such as allowing employees to (...) take time off without pay (71%) or adjusting their work schedules (78%). These Responsive CSR efforts contribute to the company's value chain by enhancing employee morale, a perceived CSEV benefit. More active forms of support requiring company time or money are less common; for example, 29% allow time off with pay. Companies perceive that support for employee volunteering enhances their public image, a Responsive CSR strategy when employed to ameliorate a damaged reputation or a Strategic CSR strategy when contributing to a competitive position. A minority perceive challenges like covering the workload. Many companies target and/or exclude particular causes and link CSEV efforts with other philanthropic donations, suggesting a Strategic CSR application of CSEV. Where programs exist, they frequently are neither tracked nor evaluated, suggesting that companies are not using these programs as strategically as they might. (shrink)

Once upon a time, some thought that indicative conditionals could be effectively analyzed as material conditionals. Later on, an alternative theoretical construct has prevailed and received wide acceptance, namely, the conditional probability of the consequent given the antecedent. Partly following critical remarks recently ap- peared in the literature, we suggest that evidential support—rather than conditional probability alone—is key to understand indicative conditionals. There have been motivated concerns that a theory of evidential conditionals (unlike their more tra- ditional counterparts) cannot (...) generate a sufficiently interesting logical system. Here, we will describe results dispelling these worries. Happily, and perhaps surprisingly, appropriate technical variations of Ernst Adams’s classical approach allow for the construction of a logic of evidential conditionals with distinctive fea- tures, which is also well-behaved and reasonably strong. (shrink)

Recently, bioethicists and the UNCRPD have advocated for supported medical decision-making on behalf of patients with intellectual disabilities. But what does supported decision-making really entail? One compelling framework is Anita Silvers and Leslie Francis’ mental prosthesis account, which envisions supported decision-making as a process in which trustees act as mere appendages for the patient’s will; the trustee provides the cognitive tools the patient requires to realize her conception of her own good. We argue that supported decision-making would be better understood (...) as a collaborative process, giving patients with intellectual disabilities the opportunity to make decisions in a respectful relationship with trusted others. We offer an alternative account of supported decision-making where the primary constraint is to protect the patient from domination by the trustee. This is advantageous in its preservation of the prospects for genuine collaboration, for the mental prosthesis approach ultimately reinforces a problematic ideal of isolated patient self-determination. (shrink)

The number of training programs for the responsible conduct of research has increased substantially over the past few decades as the importance of research ethics has received greater attention. It is unclear, however, whether the proliferation of RCR training programs has improved researcher integrity or the public's trust in science. Rather than training researchers simply to comply with regulations, we could use the opportunity to develop researchers' ability to understand and appreciate the ethical ideals that inform the regulations in order (...) to help them integrate ethical decision-making into their work on a regular basis. Incorporating ethical principles into research training requires a new way of teaching RCR and the development of support materials to facilitate its adoption. The Presidential Commission for the Study of Bioethical Issues, a panel established to advise the President on bioethical issues arising from advances in biomedicine and related areas of science and technology, developed and provides pedagogical materials based on its published reports to facilitate the integration of ethics education across the curriculum and in support of RCR and general bioethics education. (shrink)

Evidential support is often equated with confirmation, where evidence supports hypothesis H if and only if it increases the probability of H. This article argues against this received view. As the author shows, support is a comparative notion in the sense that increase-in-probability is not. A piece of evidence can confirm H, but it can confirm alternatives to H to the same or greater degree; and in such cases, it is at best misleading to conclude that the evidence (...) supports H. The author puts forward an alternative view that defines support in terms of measures of degree of confirmation. The proposed view is both sufficiently comparative and able to accommodate the increase-in-probability aspect of support. The author concludes that the proposed measure-theoretic approach to support provides a superior alternative to the standard confirmatory approach. (shrink)

This article argues that supported decision making is ideal for people with dynamic cognitive and functional impairments that place them at the margins of autonomy. First, we argue that guardianship and similar surrogate decision-making frameworks may be inappropriate for people with dynamic impairments. Second, we provide a conceptual foundation for supported decision making for individuals with dynamic impairments, which integrates the social model of disability with relational accounts of autonomy. Third, we propose a three-step model that specifies the necessary conditions (...) of supported decision making: identifying domains for support; identifying kinds of supports; and reaching a mutually acceptable and formal agreement. Finally, we identify a series of challenges for supported decision making, provide preliminary responses, and highlight avenues for future bioethics research. (shrink)

This article examines representations of Mermaids, a charity that supports trans young people and their families, in the British press. Using corpus-assisted critical discourse analysis, we identify and chart patterns in reporting between Mermaids’ inception as a charity in 2015, and 2022, a turbulent year for both the charity and trans people in the UK more generally. The findings show that, in the early years, there is relatively little attention to Mermaids in the press. Where they are mentioned, the charity (...) is represented as a useful source of advice and support, and their service users as happy and united. However, 2018 represents a turning point, with increasingly negative and misleading portrayals of Mermaids coinciding with a rise in public interest and funding. By 2019, media interest in the charity has surged and the impression of Mermaids as a support group for families is supplanted by the image of a powerful, dangerous and controversial organisation. We argue that the increasingly excessive, negative and polarised reporting around Mermaids is a strategy for indirectly delegitimising and attacking the lives of trans young people themselves. In a burgeoning culture war, Mermaids is used as a weapon against the very people they seek to support. (shrink)

Opinion is divided about the certainty of the evidence base for gender-affirming medical interventions in youth. Proponents claim that these treatments are well supported, while critics claim the poor-quality evidence base warrants extreme caution. Psychotherapy is one of the only available alternatives to the gender-affirming approach. Discussion of the treatment of gender dysphoria in young people is generally framed in terms of two binary approaches: affirmation or conversion. Psychotherapy/exploratory therapy offers a treatment option that lies outside this binary, although it (...) is mistakenly conflated with conversion therapies. Psychotherapy does not impose restrictive gender stereotypes, as is sometimes claimed, but critically examines them. It empowers young people to develop creative solutions to their difficulties and promotes agency and autonomy. Importantly, an exploratory psychotherapeutic process can help to clarify whether gender dysphoria is a carrier for other psychological or social problems that may not be immediately apparent. Psychotherapy can therefore make a significant contribution to the optimal, ethical care of gender-dysphoric young people by ensuring that patients make appropriate, informed decisions about medical interventions which carry risks of harm and have a contested evidence base. (shrink)

Background and aims: Liver transplantation provides an opportunity of survival for patients with liver failure, however, this procedure is known to be psychologically and physically fatiguing for patients and their informal caregivers. The aim of this study was to investigate how perceived social support and the distribution of dependency were associated with the psychological wellbeing of patients waiting for liver transplantation and their caregivers, as a dyad. Methods: The present was a cross sectional study. 95 participants were recruited at (...) a hospital in Northern Italy, during the psychological evaluation for inclusion in the transplantation list: 51 patients (19 with alcohol-related illness), and 44 family caregivers. Both patients and caregivers filled in a Symptom Checklist and Kelly's Dependency Grids. Patients also compiled the Medical Outcomes Study Social-Support Survey, and caregivers the Family Strain Questionnaire Short- Form. Results: Caregivers reported important levels of strain, also strongly related to a worsening of their own and patients’ symptoms Patients with alcohol-related pathologies had a narrower social network, which corresponded to an increase in family strain. On the sample as a whole, regression analyses showed that perceived social support and dependency measures did not predict patients’ and caregivers’ symptoms. Nevertheless, cluster analysis identified a group of caregivers who distributed their dependency more and experienced lower levels of depression, anxiety and strain. Conclusions: These results suggest the usefulness of a dyadic approach in the research, prevention and care of liver diseases. A deeper comprehension of the functioning of dyads will help practitioners in the identification of situations at risk. (shrink)

One of the criteria used by many transplant centers in assessing psychosocial eligibility for solid organ transplantation is social support. Yet, social support is a highly controversial requirement that has generated ongoing debate between ethicists and clinicians who favor its consideration (i.e., utility maximizers) and those who object to its use on equity grounds (i.e., equity maximizers). The assumption underlying both of these approaches is that social support is not a commodity that can be purchased in the (...) marketplace. This essay argues for the reconceptualization of social support as a product that can—and should—be purchased for transplant candidates to render them eligible for transplant. (shrink)

Inference-to-best-explanation from psychological evidence supports the view that phenomenal consciousness in perceptual exposures occurs before limited aspects of that consciousness are retained in working memory. Independently of specific neurological theory, psychological considerations indicate that machinery producing phenomenal consciousness is independent of machinery producing working memory, hence independent of access to higher cognitive capacities.

In this paper I present my proposal for the central norm governing the practice of assertion, which I call the Supportive Reasons Norm of Assertion (SRNA). The critical features of this norm are that it's highly sensitive to the context of assertion, such that the requirements for warrantedly asserting a proposition shift with changes in context, and that truth is not a necessary condition for warrantedly asserting. In fact, I argue that there are some cases where a speaker may warrantedly (...) assert something she knows to be false. Only SRNA seems able to account for such cases. (shrink)

Numerous evaluations of the Bean/Cowpea Collaborative Research Support Program (CRSP) have documented CRSP contributions to food production and availability with impacts valued in the millions of dollars in developing countries as well as in the US. These reports emphasized collaboration as a critical factor in the success that emanated from CRSP research and training. Real collaboration among males and females across disciplinary, national, ethnic, cultural, and language differences is not easy. This review of CRSP experiences in building productive collaborations (...) gives actual case studies, including some failures, and discusses lessons learned in the process. The importance of wide participation, shared resources, and facilitated interpersonal relations to back up the dedication and commitment of the participants in emphasized. The program represents an investment of the US Agency for International Development with contributions in excess of 25 percent from participating US and Host Country institutions. (shrink)

Public debates depict Arabs as opposed to gender equality because of Islam. However, there may be substantial numbers of Arab Muslims who do support feminist issues and who do so while being highly attached to Islam. This study explains why certain Arabs support feminism while remaining strongly religious. We propose that some Arab citizens are more likely to subvert patriarchal norms, especially in societies that construct Islam and feminism as more compatible. Empirically, we apply three-level multinomial analyses to (...) 51 Arab Barometer and World Values Surveys, which include 57,000 Arab Muslims. Our results show that one in four Arab Muslims supports Muslim feminism—far more than those who support a more secularist version of feminism. Employed women, single people, people who distrust institutions, and more highly educated people support Muslim feminism more than do others—especially in societies that construct feminism and Islam as less contradictory, such as those with strong feminist movements. The presumption that Islam and feminism are necessarily opposed may hinder feminism. A more effective way to boost gender equality in the Arab region may be to embolden emancipatory religious interpretations. (shrink)

Berry, Daniels, and Ladin make a strong argument for discontinuing the use of, “lack of social support,” as an organ transplantation listing criterion. This argument, however, actually leads to conclusions much stronger than those that the authors’ propose: The argument works equally well against using, (1) any “psychosocial” factors at all as a listing criterion, and, (2) any criteria other than factors that directly relate to empirically established medical need, and/or empirically established survival rate. Moreover, while the authors rightly (...) point to a lack of empirical evidence connecting social support to survivability, they neglect mentioning that the empirical literature on social support provides grounds to favor listing persons who seem to, sadly, lack a social support system. (shrink)

Social innovations (SIs) offer creative solutions to complex social problems and often require the exchange of necessary resources, knowledge, and expertise among various actors. These actors form an ecosystem that can support the development of successful SIs. In this special topic forum introduction, we first discuss the literature related to the support function of ecosystems. We use the theoretical lens of prosocial behavior to explain the various types of support in an ecosystem. We argue that there are (...) three archetypes of support in ecosystems, namely, altruistic, communitarian, and commercial support. Subsequently, we present the three papers accepted for publication in the special topic forum. One paper refers to the three support archetypes, although indirectly, while the other two refer to one specific archetype of ecosystem support for SIs. This introductory paper concludes with discussion on the opportunities for future research. Without a clear understanding of the different archetypes of support, it would be difficult for both scholars and practitioners to design vibrant ecosystems in assistance to SI. (shrink)

Freedom of information laws promote transparency by permitting individuals and organizations to obtain government documents. However, exemptions from disclosure are necessary to protect privacy and to permit government officials to deliberate freely. Deliberative language is often the most challenging and burdensome exemption to detect, leading to high processing costs and delays in responding to open-records requests. This paper describes a novel deliberative-language detection model trained on a new annotated training set. The deliberative-language detection model is a component of a decision- (...) class='Hi'>support system for open-records requests under the US Freedom of Information Act, the FOIA Assistant, that ingests documents responsive to an open-records requests, suggests passages likely to be subject to deliberative language, privacy, or other exemptions, and assists analysts in rapidly redacting suggested passages. The tool’s interface is based on extensive human-factors and usability studies with analysts and is currently in operational testing by multiple US federal agencies. (shrink)