A number of high-profile campaigns relating to diversity have focussed on the large law firm sector since the mid-2000s. Reflecting on what has been called the 'diversity approach' to equality management, they have emphasised voluntary action based on business case reasoning. This paper considers the impact of these campaigns in practice, focusing on the dynamics of diversity policy-making within firms. Drawing upon empirical work conducted in large law firms, it explores the perspective of newly appointed diversity staff who have day (...) to day responsibility for diversity policies in the majority of large law firms. It discusses research findings that show while certain policies were being implemented across the large law firm sector, much turns on the position of diversity staff within firms and their ability to conduct in-house negotiations effectively, to compromise and downplay the potential for disruption to the status quo. On the basis of this research I consider the ongoing debates about holding law firms to account with respect to the diversity of their workforce. While the strategy of pressuring firms to disclose 'diversity data' is gathering pace, the paper recommends an open discussion about the goals of diversity policy-making as a pre-condition of greater accountability. (shrink)

Space Gender Knowledge is an innovative and comprehensive introduction to the geographies of gender and the gendered nature of spatial relations. It examines the major issues raised by women's movements and academic feminism, and outlines the main shifts in feminist geographical work, from the geography of women to the impact of post-structuralism. In making their selection, the editors have drawn on a wide range of interdisciplinary material, ranging across spatial scales from the body to the globe. The book presents influential (...) arguments for the importance of the intersection between space and gender. Looking both at geography and beyond the discipline, it explores the gendered construction of space and the spatial construction of gender. Divided into a number of conceptual sections, each prefaced by an editorial introduction, this reader includes extracts from both landmark texts and less well-known works, making it an indispensable introduction to this dynamic field of study. (shrink)

For the successful achievement of evidence-based practice, clinicians, managers and purchasers need evidence on whether a particular intervention works and ways to judge the appropriateness of the outcome criteria and measures used. Guidance is needed on what outcome measure to use, especially within routine clinical care settings. Beginning with a re-clarification of the difference between a health status and an outcome measure, the paper presents an evaluative checklist for use by clinical audit and research staff to review outcome measures for (...) use in routine care settings. Central features include the user-centredness of the measure, its psychometric properties, feasibility of use and utility. The applicability of the checklist is illustrated for outcome measurement in diabetes and stroke care. A modified form of the checklist is proposed for use by the busy clinician as an aid to the critical review of research papers within the context of evidence-based practice and to aid health care practitioners' choice of which outcome measure(s) to use within routine clinical care. (shrink)

Inferences about spatial, temporal, and other relations are ubiquitous. This article presents a novel model-based theory of such reasoning. The theory depends on 5 principles. The structure of mental models is iconic as far as possible. The logical consequences of relations emerge from models constructed from the meanings of the relations and from knowledge. Individuals tend to construct only a single, typical model. They spontaneously develop their own strategies for relational reasoning. Regardless of strategy, the difficulty of an inference depends (...) on the process of integration of the information from separate premises, the number of entities that have to be integrated to form a model, and the depth of the relation. The article describes computer implementations of the theory and presents experimental results corroborating its main principle. (shrink)

Given a basic conditional of the form, If A then C, individuals usually list three cases as possible: A and C, not‐A and not‐C, not‐A and C. This result corroborates the theory of mental models. By contrast, individuals often judge that the conditional is true only in the case of A and C, and that cases of not‐A are irrelevant to its truth or falsity. This result corroborates other theories of conditionals. To resolve the discrepancy, we devised two new tasks: (...) the “collective” truth task, in which participants judged whether sets of assertions about a specific individual, such as: If A then C, not‐A, C, could all be true at the same time; and one in which participants judged the truth of conditional predictions about specific future events. The results consistently matched the three possibilities, thereby corroborating the model theory. They also showed a massive violation of the probability calculus in estimates of the probabilities of the four cases in the partition of conditionals (A and C, A and not‐C, not‐A and C, and not‐A and not‐C), which summed to over 200%. (shrink)

Sudoku puzzles, which are popular worldwide, require individuals to infer the missing digits in a 9 9 array according to the general rule that every digit from 1 to 9 must occur once in each row, in each column, and in each of the 3-by-3 boxes in the array. We present a theory of how individuals solve these puzzles. It postulates that they rely solely on pure deductions, and that they spontaneously acquire various deductive tactics, which differ in their difficulty (...) depending on their “relational complexity”, i.e., the number of constraints on which they depend. A major strategic shift is necessary to acquire tactics for more difficult puzzles: solvers have to keep track of possible digits in a cell. We report three experiments corroborating this theory. We also discuss their implications for theories of reasoning that downplay the role of deduction in everyday reasoning. (shrink)

Moral patients deserve moral consideration and concern – they have moral standing. What factors drive attributions of moral standing? Understanding these factors is important because it indicates how broadly individuals conceptualize the moral world, and suggests how they will treat various entities, both human and non-human. This understanding has recently been advanced by a series of studies conducted by both psychologists and philosophers, which have revealed three main drivers of moral standing: the capacity to suffer, intelligence or autonomy, and the (...) nature of an entity's disposition. These studies have also revealed causal links between moral standing and other variables of interest, namely, mental state attributions and moral behavior. In this review, I consider this recent research, aiming to clarify what the balance of evidence indicates about how moral standing is judged and about its links to mind perception and behavior. I conclude by suggesting open questions for future research on this exciting topic. (shrink)

Prior research on the psychology of retribution is complicated by the difficulty of separating retributive and general deterrence motives when studying human offenders . We isolate retribution by investigating judgments about punishing animals, which allows us to remove general deterrence from consideration. Studies 2 and 3 document a “victim identity” effect, such that the greater the perceived loss from a violent animal attack, the greater the belief that the culprit deserves to be killed. Study 3 documents a “targeted punishment” effect, (...) such that the responsive killing of the actual “guilty” culprit is seen as more deserved than the killing of an almost identical yet “innocent” animal from the same species. Studies 4 and 5 extend both effects to participants' acceptance of inflicting pain and suffering on the offending animal at the time of its death, and show that both effects are mediated by measures of retributive sentiment, and not by consequentialist concerns. (shrink)

Sudoku puzzles, which are popular worldwide, require individuals to infer the missing digits in a 9 9 array according to the general rule that every digit from 1 to 9 must occur once in each row, in each column, and in each of the 3-by-3 boxes in the array. We present a theory of how individuals solve these puzzles. It postulates that they rely solely on pure deductions, and that they spontaneously acquire various deductive tactics, which differ in their difficulty (...) depending on their “relational complexity”, i.e., the number of constraints on which they depend. A major strategic shift is necessary to acquire tactics for more difficult puzzles: solvers have to keep track of possible digits in a cell. We report three experiments corroborating this theory. We also discuss their implications for theories of reasoning that downplay the role of deduction in everyday reasoning. (shrink)

Ethical disputes arise over differences in the content of the ethical beliefs people hold on either side of an issue. One person may believe that it is wrong to have an abortion for financial reasons, whereas another may believe it to be permissible. But, the magnitude and difficulty of such disputes may also depend on other properties of the ethical beliefs in question—in particular, how objective they are perceived to be. As a psychological property of moral belief, objectivity is relatively (...) unexplored, and we argue that it merits more attention. We review recent psychological evidence which demonstrates that individuals differ in the extent to which they perceive ethical beliefs to be objective, that some ethical beliefs are perceived to be more objective than others, and that both these sources of variance are somewhat systematic. This evidence also shows that differences in perceptions of objectivity underpin quite different psychological reactions to ethical disagreement. Apart from reviewing this evidence, our aim in this paper is to draw attention to unanswered psychological questions about moral objectivity, and to discuss the relevance of moral objectivity to two issues of public policy. (shrink)

Science and technology are so intertwined that technoscience has been argued to more accurately reflect the progress of science and its impact on society, and most socioscientific issues require technoscientific reasoning. Education policy documents have long noted that the general public lacks sufficient understanding of science and technology necessary for informed decision-making regarding socioscientific/technological issues. The science–technology–society movement and scholarship addressing socioscientific issues in science education reflect efforts in the science education community to promote more informed decision-making regarding such issues. (...) Now Science, Technology, Engineering, Mathematics education has emerged as a major reform movement impacting science education. STEM education efforts emphasize literacy across the disciplines of science, technology, engineering, and mathematics, but with rare exceptions, treat issues of technology superficially and uncritically. Informed decision-making regarding many personal and societal issues requires technological literacy beyond merely becoming an enthusiastic designer or skilled user of technology, but the science education community has given little attention to what such literacy entails. Here, we present results of an extensive review of the literature regarding the nature of technology in order to identify key issues among scholars who study technology. We then provide predominant perspectives among those scholars and suggest which identified NOT issues are most essential to address as part of STEM education efforts that seek to promote informed personal and societal decision-making. (shrink)

Craniotomy as a surgical procedure used in the delivery of a fetus is subject to various moral judgments, some positive and some negative. This article gives consideration to two arguments offered for the moral legitimacy of the craniotomy. Each argument is closely examined and each is found to be flawed and hence inconclusive.

Despite the frequency of stillbirths, the subsequent implications are overlooked and underappreciated. We present findings from comprehensive, systematic literature reviews, and new analyses of published and unpublished data, to establish the effect of stillbirth on parents, families, health-care providers, and societies worldwide. Data for direct costs of this event are sparse but suggest that a stillbirth needs more resources than a livebirth, both in the perinatal period and in additional surveillance during subsequent pregnancies. Indirect and intangible costs of stillbirth are (...) extensive and are usually met by families alone. This issue is particularly onerous for those with few resources. Negative effects, particularly on parental mental health, might be moderated by empathic attitudes of care providers and tailored interventions. The value of the baby, as well as the associated costs for parents, families, care providers, communities, and society, should be considered to prevent stillbirths and reduce associated morbidity. (shrink)

Researchers conducting large community-based studies among underserved populations may collect data on health conditions that are little-acknowledged in the local setting, and for which there are few if any services for referral of participants who need follow-up diagnosis and care. In the design and planning of studies for such settings, investigators and research ethics committees may struggle to determine what constitutes effective referral and whether it is reasonably available. We offer a guiding framework for referral planning, informed by our experiences (...) of research in the field and of service on research ethics committees, to support evaluation of local referral resources and consideration of the benefits, burdens and risks of referral in the local setting. The framework addresses both the impact of referral on the well-being of the people who would be referred and the impact that referral of study participants would have on local people outside the study. We use a sustained discussion of three field-based case examples to illustrate the ethical concerns at issue and to demonstrate the use of the referral planning framework. (shrink)

This article presents the results of methodological experimentation that utilises machine learning to investigate automated copyright enforcement on YouTube. Using a dataset of 76.7 million YouTube videos, we explore how digital and computational methods can be leveraged to better understand content moderation and copyright enforcement at a large scale.We used the BERT language model to train a machine learning classifier to identify videos in categories that reflect ongoing controversies in copyright takedowns. We use this to explore, in a granular way, (...) how copyright is enforced on YouTube, using both statistical methods and qualitative analysis of our categorised dataset. We provide a large-scale systematic analysis of removals rates from Content ID’s automated detection system and the largely automated, text search based, Digital Millennium Copyright Act notice and takedown system. These are complex systems that are often difficult to analyse, and YouTube only makes available data at high levels of abstraction. Our analysis provides a comparison of different types of automation in content moderation, and we show how these different systems play out across different categories of content. We hope that this work provides a methodological base for continued experimentation with the use of digital and computational methods to enable large-scale analysis of the operation of automated systems. (shrink)

Following important work by Pizarro, Uhlmann and Salovey (2003) on moral judgments of uncontrolled/impulsive versus controlled/ deliberate action, we focus on the related issue of the moral evaluation of emotion-motivated versus principle-driven behavior. We examine: (a) the potential lesser blameworthiness of antisocial acts perceived as driven by emotion as opposed to principle; (b) how factors governing the moral evaluation of antisocial acts might extend to the evaluation of prosocial acts; and (c) how overriding a moral emotion in favor of a (...) moral principle affects moral attributions. (shrink)

In this international and interdisciplinary collection of critical essays, distinguished contributors examine a crucial premise of traditional readings of Plato's dialogues: that Plato's own doctrines and arguments can be read off the statements made in the dialogues by Socrates and other leading characters. The authors argue in general and with reference to specific dialogues, that no character should be taken to be Plato's mouthpiece. This is essential reading for students and scholars of Plato.

Background Informed consent procedures for large population-based cohort studies should be comprehensive and easy-to-use. This is particularly challenging when participants from different socio-economic groups and multicultural ethnic backgrounds are involved. Recently, more and more studies have tried to use multimedia in informed consent procedures. We describe the development and testing of a digital informed consent app and elaborate on whether this may contribute to a comprehensive and practical procedure to obtain informed consent for public health research. Methods In a sample (...) of parents with young children, we used a mixed method approach to study the user experience of an informed consent app and evaluate whether it can be used to adequately inform people and register their consent. Through semi-structured interviews we investigated participants’ experiences with and opinions about the app, with a special focus on comprehensibility of the content and the usability of the app. Information retention questions were asked to evaluate to what extent participants could recall key aspects of the provided study information. Results The 30 participants in this study used the app between 4 and 15 min to give their consent. Overall, they found the app well-designed, informative and easy to use. To learn more about the study for which informed consent is asked, most of the participants chose to watch the animated film, which was generally found to convey information in a clear manner. The identification process was met with mixed reactions, with some feeling it as a secure way to give consent, while for others it contradicted their view of using data anonymously. Information retention questions showed that while all participants remembered various aspects of the study, fewer than half answered all four questions satisfactorily. Conclusion Our study shows that a well-designed informed consent app can be an effective tool to inform eligible participants and to record consents. Still, some issues remain, including trust barriers towards the identification procedure and lack of information retention in some participants. When implementing consent procedures that incorporate digital formats, it may be beneficial to also invest in a complementary face-to-face recruitment approach. (shrink)

Discovering the underlying mathematical expressions describing a dataset is a core challenge for artificial intelligence. This is the problem of symbolic regression. Despite recent advances in training neural networks to solve complex tasks, deep learning approaches to symbolic regression are underexplored. We propose a framework that leverages deep learning for symbolic regression via a simple idea: use a large model to search the space of small models. Specifically, we use a recurrent neural network to emit a distribution over tractable mathematical (...) expressions and employ a novel risk-seeking policy gradient to train the network to generate better-fitting expressions. Our algorithm outperforms several baseline methods (including Eureqa, the gold standard for symbolic regression) in its ability to exactly recover symbolic expressions on a series of benchmark problems, both with and without added noise. More broadly, our contributions include a framework that can be applied to optimize hierarchical, variable-length objects under a blackbox performance metric, with the ability to incorporate constraints in situ, and a risk-seeking policy gradient formulation that optimizes for best-case performance instead of expected performance. (shrink)

BackgroundFear of cancer recurrence is common amongst cancer survivors. There is rapidly growing research interest in FCR but a need to prioritize research to address the most pressing clinical issues and reduce duplication and fragmentation of effort. This study aimed to establish international consensus among clinical and academic FCR experts regarding priorities for FCR research.MethodsMembers of the International Psycho-oncology Society Fear of Cancer Recurrence Special Interest Group were invited to participate in an online Delphi study. Research domains identified in Round (...) 1 were presented and discussed at a focus group to consolidate the domains and items prior to presentation in further survey rounds aimed at gaining consensus on research priorities of international significance.ResultsThirty four research items were identified in Round 1 and 33 of the items were consolidated into six overarching themes through a focus group discussion with FCR experts. The 33 research items were presented in subsequent rounds of the delphi technique. Twenty one participants contributed to delphi round 1, 16 in round 2, and 25 and 29 participants for subsequent delphi rounds. Consensus was reached for 27 items in round 3.1. A further four research items were identified by panelists and included in round 3.2. After round 3.2, 35 individual research items were ratified by the panelists. Given the high levels of consensus and stability between rounds, no further rounds were conducted. Overall intervention research was considered the most important focus for FCR research. Panelists identified models of care that facilitate greater access to FCR treatment and evaluation of the effectiveness of FCR interventions in real world settings as the two research items of highest priority. Defining the mechanisms of action and active components across FCR/P interventions was the third highest priority identified.ConclusionThe findings of this study outline a research agenda for international FCR research. Intervention research to identify models of care that increase access to treatment are based on a flexible approach based on symptom severity and can be delivered within routine clinical care were identified as research areas to prioritize. Greater understanding of the active components and mechanisms of action of existing FCR interventions will facilitate increased tailoring of interventions to meet patient need. (shrink)