An empirically sensitive formulation of the norms of transformative criticism must recognize that even public and shared standards of evaluation can be implemented in ways that unintentionally perpetuate and reproduce forms of social bias that are epistemically detrimental. Helen Longino’s theory can explain and redress such social bias by treating peer evaluations as hypotheses based on data and by requiring a kind of perspectival diversity that bears, not on the content of the community’s knowledge claims, but on the (...) beliefs and norms of the culture of the knowledge community itself. To illustrate how socializing cognition can bias evaluations, we focus on peer-review practices, with some discussion of peer-review practices in philosophy. Data include responses to surveys by editors from general philosophy journals, as well as analyses of reviews and editorial decisions for the 2007 Cognitive Science Society Conference. (shrink)

Some proponents of moral bioenhancement propose that people should utilize biomedical practices to enhance the faculties and traits that are associated with moral agency, such as empathy and a sense of justice. The hope is that doing so will improve our ability to meet the moral challenges that have emerged in our contemporary, globalized world. In this paper, we caution against this view by arguing that biomedically inducing more empathy may, in fact, diminish moral agency. We argue that this type (...) of increase in empathy would not be effective for addressing empathy’s vulnerability to the biases that can undermine moral judgment. Furthermore, doing so may undermine the important capacity to regulate empathy. We determine that if the moral enhancement project is to be a serious one, it must address these challenges. (shrink)

There is ample evidence that individual-level cognitive mechanisms active during language learning and use can contribute to the evolution of language. For example, experimental work suggests that learners will reduce case marking in a language where grammatical roles are reliably indicated by fixed word order, a correlation found robustly in the languages of the world. However, such research often assumes homogeneity among language learners and users, or at least does not dig into individual differences in behavior. Yet, it is increasingly (...) clear that language users vary in a large number of ways: in culture, in demographics, and—critically for present purposes—in terms of cognitive diversity. Here, we explore how neurodiversity impacts behavior in an experimental task similar to the one summarized above, and how this behavior interacts with social pressures. We find both similarities and differences between autistic and nonautistic English-speaking individuals, suggesting that neurodiversity can impact language change in the lab. This, in turn, highlights the potential for future research on the role of neurodivergent populations in language evolution more generally. (shrink)

The errors young children make when recognising others’ emotions may be systematic over-identification biases and may partially explain the challenges some have socially. These biases and associations may be differential by emotion. In a sample of 871 ethnically and racially diverse preschool-aged children (i.e. 33–68 months; 49% Hispanic/Latine, 52% Children of Colour), emotion recognition was assessed, and scores for accuracy and bias were calculated by emotion (i.e. anger, sad, happy, calm, and fear). Child and family characteristics and teacher-reported (...) social behaviour were also collected. Multilevel structural equation modelling revealed emotion-specific recognition accuracies varied between 36 and 65% whereas biases varied between 4 and 13%. Anger was the strongest bias followed by sad, happy, fear, and calm, in contrast to the pattern for accuracy – happy, sad, angry, fear, and calm. More variance was explained in emotion-specific recognition accuracies by child and family characteristics – 7–38% – than biases – 3–7%. Negatively-valanced emotion recognition biases associated with positively-valanced accuracies, and positively-valued emotion recognition biases associated with negatively-valued accuracies. Biases did not have meaningful associations with social behaviour. This study highlights that children’s emotion recognition errors may partially be systematic, but future studies are needed to understand the underlying cognitive mechanisms. (shrink)

Krueger & Funder (K&F) overstate the defects of Null Hypothesis Significance Testing (NHST), and with it the magnitude of negativity bias within social psychology. We argue that replication matters more than NHST, that the pitfalls of NHST are not always or necessarily realized, and that not all biases are harmless offshoots of adaptive mental abilities.

This article conceptualizes the evolution of the German political economy as the codevelopment of technological and institutional change. The notion of skill-biased liberalization is introduced to capture this process and contrasted with the two dominant theoretical frameworks employed in contemporary comparative political economy scholarship—dualization and liberalization. Integrating theories from labor economics, the article argues that the increasing centrality of high skills complementary in production to information and communications technology has weakened the traditional complementarity among specific skills, regulated industrial relations, and (...) generous social protection in core sectors. The liberalization of industrial relations and social protection is shown in fact to be instrumental for high-end exporting firms to concentrate wages and benefits on increasingly important high-skilled workers. Strong evidence based on descriptive statistics, union and industry documents, and twenty-one elite interviews is found in support of the article’s alternative perspective. (shrink)

Niche construction theory highlights the active role of organisms in modifying their environment. A subset of these modifications is the developmental niche, which concerns ecological, epistemic, social and symbolic legacies inherited by organisms as resources that scaffold their developmental processes. Since in this theory development is a situated process that takes place in a culturally structured environment, we may reasonably ask if implicit cultural biases may, in some cases, be responsible for maladaptive developmental niches. In this paper we (...) wish to argue for an affirmative answer. In order to do so, we first propose to conceptualize implicit bias as embodied perceptual habits, and then proceed to show that these habits are at least partially responsible for maladaptive developmental niches of children with Down syndrome and autism. With this framework we thus hope to bring together two fields of research that haven’t been explicitly connected: implicit bias and niche construction theory. Linking these two theories may bring benefits both to implicit bias researchers, who can extend this concept to characterize other sets of processes as biased, as well as to niche construction theorists, who will have a useful theoretical tool to diagnose maladaptive features of niches brought about by sociocultural biases. (shrink)

Reporting biases refer to a truncated pool of published studies with the resulting suppression or omission of some empirical findings. Such biases can occur in positive research paradigms that try to uncover correlations and causal relationships in the social world by using the empirical methods of science. Furthermore, reporting biases can come about because of authors who do not write papers that report unfavorable results despite strong efforts made to find previously accepted evidence and because of (...) a higher rejection rate of studies documenting contradictory evidence. Reporting biases are a serious concern because the conclusions of systematic reviews and meta-analyses can be misleading. The authors show that published evidence in win-win corporate social responsibility research tends to overestimate efficiency. The research field expects to find a positive association between corporate social performance and corporate financial performance, and findings meet that expectation. The authors explain how this pattern may reflect reporting bias. The empirical results show strong tentative evidence for a positive reporting bias in the CSP–CFP literature but only weak tentative evidence for CSP efficiency. The study also examines which factors, such as time trends, publication outlet, and study characteristics, are associated with higher reporting biases within this literature. (shrink)

Research suggests that interventions involving extensive training or counterconditioning can reduce implicit prejudice and stereotyping, and even susceptibility to stereotype threat. This research is widely cited as providing an “existence proof” that certain entrenched social attitudes are capable of change, but is summarily dismissed—by philosophers, psychologists, and activists alike—as lacking direct, practical import for the broader struggle against prejudice, discrimination, and inequality. Criticisms of these “debiasing” procedures fall into three categories: concerns about empirical efficacy, about practical feasibility, and about (...) the failure to appreciate the underlying structural-institutional nature of discrimination. I reply to these criticisms of debiasing, and argue that a comprehensive strategy for combating prejudice and discrimination should include a central role for training our biases away. (shrink)

In this essay I identify a type of linguistic phenomenon new to feminist philosophy of language: biased evaluative descriptions. Biased evaluative descriptions are descriptions whose well-intended positive surface meanings are inflected with implicitly biased content. Biased evaluative descriptions are characterized by three main features: (1) they have roots in implicit bias or benevolent sexism, (2) their application is counterfactually unstable across dominant and subordinate social groups, and (3) they encode stereotypes. After giving several different kinds of examples of biased (...) evaluative descriptions, I distinguish them from similar linguistic concepts, including backhanded compliments, slurs, insults, epithets, pejoratives, and dog whistles. I suggest that the traditional framework of Gricean implicature cannot account for biased evaluative descriptions. I discuss some challenges to the distinctiveness and evaluability of biased evaluative descriptions, including intersectional social identities. I conclude by discussing their social significance and moral status. Identifying biased evaluative descriptions is important for a variety of social contexts, from the very general and broad (political speeches) to the very particular and small (bias in academic hiring). (shrink)

Some philosophers challenge the advisability of naturalizing social metaphysics by appeal to social science. They argue that social science fails to meet criteria for realist commitment, such as unity and novel predictive power, and that social science would therefore be a poor basis for naturalization. These skeptical challenges are rooted in traditions in the philosophy of science that have held the social sciences in poor esteem. Through a case study that highlights the ways in which (...) archaeology is methodologically converging on hard science, I show that the philosophical bias against social science is outmoded. I suggest that at least some of the methodological advances of archaeology and other social sciences are epistemologically significant and are relevant to the question of realism. However, I conclude with the thought that realist commitment need not be a precondition for naturalization. The paper therefore accomplishes two main things: 1) it allays objections to using social science to naturalize social metaphysics, and 2) it motivates a higher estimation of the epistemological credentials of social science as compared with more skeptical traditions. (shrink)

Generative artificial intelligence systems based on transformers, including both text-generators like GPT-4 and image generators like DALL-E 3, have recently entered the popular consciousness. These tools, while impressive, are liable to reproduce, exacerbate, and reinforce extant human social biases, such as gender and racial biases. In this paper, we systematically review the extent to which DALL-E Mini suffers from this problem. In line with the Model Card published alongside DALL-E Mini by its creators, we find that the (...) images it produces tend to represent dozens of different occupations as populated either solely by men (e.g., pilot, builder, plumber) or solely by women (e.g., hairdresser, receptionist, dietitian). In addition, the images DALL-E Mini produces tend to represent most occupations as populated primarily or solely by White people (e.g., farmer, painter, prison officer, software engineer) and very few by non-White people (e.g., pastor, rapper). These findings suggest that exciting new AI technologies should be critically scrutinized and perhaps regulated before they are unleashed on society. (shrink)

Many individuals have experienced a multitude of chronic stressors and diminished psychological functioning during COVID-19. The current study examined whether biases towards positive social media or positive autobiographical memories was related to increases in psychological functioning during COVID-19. Participants were 1071 adults (Mage = 46.31; 58% female; 78% White) recruited from MTurk. Participants reported on their social media consumption and autobiographical recall, positive and negative affect, and dysphoria symptoms. Results indicated that, at the first assessment collected in (...) the spring and summer of 2020, positively biased social media consumption was cross-sectionally related to higher levels of positive affect, and positively biased autobiographical recall was cross-sectionally related to lower levels of negative affect and dysphoria symptoms. Sensitivity analyses examined cross-sectional relations from a second assessment collected in fall 2020, and prospective cross-lagged analyses. The findings point to potential psychological benefits of positive biases during chronic stressors. (shrink)

We examined whether the enforcement of phantom rules—frequently broken and rarely enforced codified rules—varies by the race of the rule breaker. First, we analyzed whether race affects when 311 calls, a nonemergency service, end in arrest in New York City. Across 10 years, we found that calls from census blocks of neighborhoods consisting of mostly White individuals were 65% less likely to escalate to arrest than those where White people were the numerical minority. Next, we experimentally manipulated transgressor race and (...) found that participants (N = 393) who were high in social dominance orientation were more likely to route 311 calls to 911 when the transgressor was Black (vs. White). We also explored the subjective experience of phantom rule enforcement; People of color report they are more likely to be punished for violating phantom rules compared to White people. Overall, we find evidence of racism in the enforcement of phantom rules. (shrink)

The article makes four interrelated claims: (1) The mechanism approach to social explanation does not presuppose a commitment to the individual-level microfoundationalism. (2) The microfoundationalist requirement that explanatory social mechanisms should always consists of interacting individuals has given rise to problematic methodological biases in social research. (3) It is possible to specify a number of plausible candidates for social macro-mechanisms where interacting collective agents (e.g. formal organizations) form the core actors. (4) The distributed cognition perspective (...) combined with organization studies could provide us with explanatory understanding of the emergent cognitive capacities of collective agents. (shrink)

Financial and prosocial biases in favor of attractive adults have been documented in the labor market, in social transactions in everyday life, and in studies involving experimental economic games. According to the taste-based discrimination model developed by economists, attractiveness-related financial and prosocial biases are the result of preferences or prejudices similar to those displayed toward members of a particular sex, racial, ethnic, or religious group. Other explanations proposed by economists and social psychologists maintain that attractiveness is (...) a marker of personality, intelligence, trustworthiness, professional competence, or productivity. Evolutionary psychologists have argued that attractive adults are favored because they are preferred sexual partners. Evidence that stereotypes about attractive people are causally related to financial or prosocial biases toward them is weak or nonexistent. Consistent with evolutionary explanations, biases in favor of attractive women appear to be more consistent or stronger than those in favor of attractive men, and biases are more consistently reported in interactions between opposite-sex than same-sex individuals. Evolutionary explanations also account for increased prosocial behavior in situations in which attractive individuals are simply bystanders. Finally, evolutionary explanations are consistent with the psychological, physiological, and behavioral changes that occur when individuals are exposed to potential mates, which facilitate the expression of courtship behavior and increase the probability of occurrence of mating. Therefore, multiple lines of evidence suggest that mating motives play a more important role in driving financial and prosocial biases toward attractive adults than previously recognized. (shrink)

In recent years, there have been several high-profile recalls of hybrid products. If consumers perceive a global firm to be responsible for the recall, then it will reduce their brand equity. Therefore, global firms may respond in ethically questionable ways to justify themselves to important stakeholders and avoid blame. Understanding how stakeholders attribute blame for crises involving hybrid products is important to shed light on the unethical manner in which global firms might avoid blame in such situations. The research reported (...) here shows that in a hybrid product crisis, consumers show a bias in favor of the brand company and against the manufacturing company. This bias is more pronounced when the country of manufacture has an unfavorable image or when consumers lack familiarity with the recalled brand. Ambiguous recall announcements by companies that fail to provide a specific and clear reason for the product defect prompt consumers to assume that a manufacturing flaw caused the product defect. As a result, consumers reduce their attribution of blame for the brand company, and thus its brand equity is maintained. (shrink)

Journal peer review is an essential part of academic practices.1 But how well does it serve its purpose and which factors have an influence on how close it comes to achieving its aims? Peer review has been widely discussed in empirical literature: it has been studied both qualitatively and quantitatively (e.g., by Cole, who in his 1992 book uses data on how grant applications submitted to National Science Foundation were...

The article makes four interrelated claims: (1) The mechanism approach to social explanation does not presuppose a commitment to the individual-level microfoundationalism. (2) The microfoundationalist requirement that explanatory social mechanisms should always consists of interacting individuals has given rise to problematic methodological biases in social research. (3) It is possible to specify a number of plausible candidates for social macro-mechanisms where interacting collective agents (e.g. formal organizations) form the core actors. (4) The distributed cognition perspective (...) combined with organization studies could provide us with explanatory understanding of the emergent cognitive capacities of collective agents. (shrink)

Biases in cognition are ubiquitous. Social psychologists suggested biases and stereotypes serve a multifarious set of cognitive goals, while at the same time stressing their potential harmfulness. Recently, biases and stereotypes became the purview of heated debates in the machine learning community too. Researchers and developers are becoming increasingly aware of the fact that some biases, like gender and race biases, are entrenched in the algorithms some AI applications rely upon. Here, taking into account (...) several existing approaches that address the problem of implicit biases and stereotypes, we propose that a strategy to cope with this phenomenon is to unmask those found in AI systems by understanding their cognitive dimension, rather than simply trying to correct algorithms. To this extent, we present a discussion bridging together findings from cognitive science and insights from machine learning that can be integrated in a state-of-the-art semantic network. Remarkably, this resource can be of assistance to scholars (e.g., cognitive and computer scientists) while at the same time contributing to refine AI regulations affecting social life. We show how only through a thorough understanding of the cognitive processes leading to biases, and through an interdisciplinary effort, we can make the best of AI technology. (shrink)

Sex-biased investment in children has been explored in a historic population in northern England, 1600 to 1800, following a family reconstitution study. An examination of the wills and other available data identified three social groups: the elite, tradesmen, and subsistence farmers. The community lived under marginal conditions with poor and fluctuating levels of nutrition; infant and child mortalities were high. Clear differences were found between the social groups, and it is suggested that the elite wetnursed their daughters whereas (...) the elite mother breast-fed her sons for only a short period and introduced supplementary feeding early. The wives of the tradesmen probably breast-fed both sexes for the same length of time. Subsistence farmers may have weaned their sons earlier than daughters. The results are discussed in terms of possible differences in investment strategies. The investment strategy of the elite group was probably male-biased but may, in practice, have favored the female offspring. (shrink)

In recent years the social nature of scientific inquiry has generated considerable interest. We examine the effect of an epistemically impure agent on a community of honest truth seekers. Extending a formal model of network epistemology pioneered by Zollman, we conclude that an intransigently biased agent prevents the community from ever converging to the truth. We explore two solutions to this problem, including a novel procedure for endogenous network formation in which agents choose whom to trust. We contend that (...) our model nicely captures aspects of current problems in medical research and gesture at some morals for medical epistemology more generally. (shrink)

This article argues that basic ethical principles of U.S. journalism as described in the Society of Professional Journalists' Code of Ethics are the result of, and a response to, cognitive bias and error. Cognitive biases and errors necessitate journalistic best practices to correct or attenuate them. Social cognitive processes explored include stereotyping, confirmation bias, and attribution. These concepts are noteworthy because each may be activated by the practice of journalism, and each has been shown to be susceptible to (...) attenuation through specific practices. The article concludes with ideas for integrating cognition into journalism education. (shrink)

Physical attractiveness affects how one gets treated, but it is just a single component of one's overall “market value.” One's treatment depends on other markers of market value, including social status, competence, warmth, and any other cues of one's ability or willingness to confer benefits on partners. To completely understand biased treatment, we must also incorporate these other factors.

Some kinds are both socially constructed and perceptible, such as gender and race. However, this gives rise to a puzzle that has been largely neglected in social constructionist accounts: how does culture shape and bias what we perceive? I argue that perceptual learning is the best explanation of our ability to perceive social kinds, in comparison to accounts that require a person acquire beliefs, theories, or concepts of the kind. I show how relatively simple causal factors known to (...) influence perceptual learning in the laboratory can be extended to understand how culture shapes and biases perception. This account makes clear that the process of perceptual enculturation begins at a very early age, and does not in most cases require background beliefs on the part of the learner: the causal pathways by which perceptual learning occur suffice. It has significance for our understanding of how socially constructed kinds are culturally transmitted, as well as for how such kinds might be altered through interventions. (shrink)

We present an integrative review of research and theory on major factors involved in the early development of attentional biases to faces. Research utilizing behavioral, eye-tracking, and neuroscience measures with infant participants as well as comparative research with animal subjects are reviewed. We begin with coverage of research demonstrating the presence of an attentional bias for faces shortly after birth, such as newborn infants’ visual preference for face-like over non-face stimuli. The role of experience and the process of perceptual (...) narrowing in face processing are examined as infants begin to demonstrate enhanced behavioral and neural responsiveness to mother over stranger, female over male, own- over other-race, and native over non-native faces. Next, we cover research on developmental change in infants’ neural responsiveness to faces in multimodal contexts, such as audiovisual speech. We also explore the potential influence of arousal and attention on early perceptual preferences for faces. Lastly, the potential influence of the development of attention systems in the brain on social-cognitive processing is discussed. In conclusion, we interpret the findings under the framework of Developmental Systems Theory, emphasizing the combined and distributed influence of several factors, both internal (e.g., arousal, neural development) and external (e.g., early social experience) to the developing child, in the emergence of attentional biases that lead to enhanced responsiveness and processing of faces commonly encountered in the native environment. (shrink)

Oocyte cryopreservation, or ‘egg freezing,’ is the practice of preserving unfertilised oocytes for later fertilisation. This practice allows women to extend their reproductive years. In 2014, Facebook and Apple announced that they would subsidise their female employees’ elective — or ‘social’ — use of egg freezing so that these women can more easily reconcile the demands of career and family life. This announcement engendered controversy and moral debate. Given that social egg freezing is becoming more popular, ethical and (...) empirical analyses are warranted. Here, I utilise content analysis to examine media messages in advertising for SEF. I conclude that many fertility clinics engage in biased advertising — i.e. they advertise the service persuasively, not informatively, emphasising indirect benefits while minimising risks and the low chance of successfully bringing a child to term. As advertising for medical services has been shown to influence the use of those services, advertising for SEF should emphasise clear and easily interpretable statistics about success rate, usage rate, cost, and risk. (shrink)

This essay aims to show that implicit biases should not be conceived of as “inside the head” of individuals, but rather as embodied and social. My argument unfolds in three stages. First, I make the case for conceiving of implicit biases as perceptual habits. Second, I argue that we should think of perceptual habits and, by extension, implicit biases, as located in the body. Third, I claim that individual habits are shaped by the social world (...) in which we find ourselves and that the social world is itself shaped by our habitual ways of interacting with and perceiving others. This suggests that implicit biases are part of the fabric of the social world. Thus, I conclude that implicit biases should be understood as embodied and social. (shrink)

This paper contributes to an on-going exchange in political theory on the normative legitimacy of expert bodies. It focuses on epistemic worries about the expertisation of politics, and uses the Nordic system of advisory commissions as an empirical case. Epistemic concerns are often underplayed by those who defend an increasing role of experts in policy-making, while those who have epistemic worries often tend to overstate them and debunk expertise. We present ten epistemic worries, of which some are of an epistemological (...) nature, while others are related to failures and biases. These worries must not be overstated, but no doubt point to real problems which have to be handled through the design of expert bodies and institutions of science advice. We introduce three groups of mechanisms that are likely to contribute to remedying the problems of expertise and discuss what they imply for the design of a system of public advisory commissions. (shrink)

A significant and important ethical tension in resource allocation and public health ethics is between utility and equity. We explore this tension between utility and equity in the context of health AI through an examination of a diagnostic AI screening tool for diabetic retinopathy developed by a team of researchers at Duke-NUS in Singapore. While this tool was found to be effective, it was not equally effective across every ethnic group in Singapore, being less effective for the minority Malay population (...) than for the Chinese majority. We discuss the problematic normative nature of bias in health AI and explore the ways in which bias can interact with various forms of social inequalities. From there, we examine the specifics of the diabetic retinopathy case and weigh up specific trade-offs between utility and equity. Ultimately, we conclude that it is ethically permissible to prioritise utility over equity where certain criteria hold. Given that any medical AI is more likely than not to have lingering bias due to bias in the training data that may reflect other social inequalities, we argue that it is permissible to implement an AI tool with residual bias where: (1) its introduction reduces the influence of biases (even if overall inequality is worsened), and/or (2) where the utility gained is significant enough and shared across groups (even if unevenly). (shrink)

Often machine learning programs inherit social patterns reflected in their training data without any directed effort by programmers to include such biases. Computer scientists call this algorithmic bias. This paper explores the relationship between machine bias and human cognitive bias. In it, I argue similarities between algorithmic and cognitive biases indicate a disconcerting sense in which sources of bias emerge out of seemingly innocuous patterns of information processing. The emergent nature of this bias obscures the existence of (...) the bias itself, making it difficult to identify, mitigate, or evaluate using standard resources in epistemology and ethics. I demonstrate these points in the case of mitigation techniques by presenting what I call ‘the Proxy Problem’. One reason biases resist revision is that they rely on proxy attributes, seemingly innocuous attributes that correlate with socially-sensitive attributes, serving as proxies for the socially-sensitive attributes themselves. I argue that in both human and algorithmic domains, this problem presents a common dilemma for mitigation: attempts to discourage reliance on proxy attributes risk a tradeoff with judgement accuracy. This problem, I contend, admits of no purely algorithmic solution. (shrink)

Often, when several norms are present and may be in conflict, individuals will display a self-serving bias, privileging the norm that best serves their interests. Xiao and Bicchieri (J Econ Psychol 31(3):456–470, 2010) tested the effects of inequality on reciprocating behavior in trust games and showed that—when inequality increases—reciprocity loses its appeal. They hypothesized that self-serving biases in choosing to privilege a particular social norm occur when the choice of that norm is publicly justifiable as reasonable, even if (...) not optimal for one of the parties. In line with the literature on motivated reasoning, this justification should find some degree of support among third parties. The results of our experimental survey of third parties support the hypothesis that biases are not always unilateral selfish assessments. Instead, they occur when the choice to favor a particular norm is supported by a shared sense that it is a reasonable and justifiable choice. (shrink)

Linking arbitrary shapes to personal labels or reward values results in immediate processing benefits for those stimuli that happen to be associated with the self or high rewards in perceptual matching tasks. Here we further explored how social and reward associations interact with multisensory stimuli by pairing labels and objects with tones. We also investigated whether self and reward biases persist for multisensory stimuli with the label removed after an association had been made. Both high reward stimuli and (...) those associated with the self, resulted in faster responses and improved discriminability, which persisted for multisensory stimuli even when the labels were removed. However, these self- and reward-biases partly depended on the specific alignment between the physical tones and the conceptual order. Performance for reward associations improved when the endpoints of low or high rewards were paired with low or high tones; meanwhile, for personal associations, there was a benefit when the self was paired with either low or high tones, but there was no effect when the stranger was associated with either endpoint. These results indicate that, unlike reward, social personal associations are not represented along a continuum with two marked endpoints but rather with a single reference point. (shrink)