scholarly journals Implicit person memory: Domain-general and domain-specific processes of learning and change

2021 ◽  
Author(s):  
Benedek Kurdi ◽  
Mahzarin R. Banaji
Keyword(s):  
Empirical Studies ◽  
Apparent Contradiction ◽  
Individual Level ◽  
Domain Specific ◽  
Person Memory ◽  
Memory Work ◽  
Level Information ◽  
The Face ◽  
Behavioral Evidence ◽  
Learning And Change

In this chapter, we review implicit person memory: studies using implicit measures to examine how evaluations of and beliefs about individual human targets are acquired and how they shift in the face of new information. In doing so we distinguish between papers that have (a) used implicit person memory as a case study of relatively domain-general processes in the acquisition and change of implicit evaluations and beliefs vs. (b) investigated implicit person memory by attempting to identify processes specific to learning about social targets. The former subset of implicit person memory work emphasizes questions about the inputs to implicit attitude acquisition and change (e.g., approach/avoidance training, evaluative conditioning, and verbal statements) and the features of such inputs relevant to updating (e.g., co-occurrence vs. relational information). By contrast, the themes emerging from the second, more uniquely social, subset of implicit person memory work include the interplay between individual-level and category-level information, the role of facial cues, diagnostic narrative information, and the reinterpretation of previously encountered behavioral evidence about a person. Against this general theoretical backdrop as well as the apparent contradiction between the two sets of empirical studies, we ask whether a domain-specific account of implicit person memory is worth proposing and defending. We also address other topics that are yet to be settled in this area. These topics include differing definitions of what it means for a learning process to be effective, conditions of encoding, and probably the thorniest issue of all: the content and format of the mental representations mediating implicit person memory and, more generally, implicit social cognition.

scholarly journals In your face

2018 ◽  
Vol 37 (1) ◽  
pp. 53-67 ◽  
Author(s):  
Johnathan Caleb Peterson ◽  
Carly Jacobs ◽  
John Hibbing ◽  
Kevin Smith
Keyword(s):  
Empirical Studies ◽  
Political Orientation ◽  
The Political ◽  
Emotional Expressivity ◽  
Political Elites ◽  
Individual Level ◽  
Theoretical Account ◽  
Physiological Processes ◽  
The Face

Research suggests that people can accurately predict the political affiliations of others using only information extracted from the face. It is less clear from this research, however, what particular facial physiological processes or features communicate such information. Using a model of emotion developed in psychology that treats emotional expressivity as an individual-level trait, this article provides a theoretical account of why emotional expressivity may provide reliable signals of political orientation, and it tests the theory in four empirical studies. We find statistically significant liberal/conservative differences in self-reported emotional expressivity, in facial emotional expressivity measured physiologically, in the perceived emotional expressivity and ideology of political elites, and in an experiment that finds that more emotionally expressive faces are perceived as more liberal.

scholarly journals Current trends in the application of causal inference methods to pooled longitudinal observational infectious disease studies—A protocol for a methodological systematic review

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0250778
Author(s):  
Heather Hufstedler ◽  
Ellicott C. Matthay ◽  
Sabahat Rahman ◽  
Valentijn M. T. de Jong ◽  
Harlan Campbell ◽  
...  
Keyword(s):  
Systematic Review ◽  
Longitudinal Data ◽  
Full Text ◽  
Empirical Studies ◽  
Joint Estimation ◽  
Related Research ◽  
Individual Level ◽  
The Face ◽  
Business Source Premier ◽  
The Individual

Introduction Pooling (or combining) and analysing observational, longitudinal data at the individual level facilitates inference through increased sample sizes, allowing for joint estimation of study- and individual-level exposure variables, and better enabling the assessment of rare exposures and diseases. Empirical studies leveraging such methods when randomization is unethical or impractical have grown in the health sciences in recent years. The adoption of so-called “causal” methods to account for both/either measured and/or unmeasured confounders is an important addition to the methodological toolkit for understanding the distribution, progression, and consequences of infectious diseases (IDs) and interventions on IDs. In the face of the Covid-19 pandemic and in the absence of systematic randomization of exposures or interventions, the value of these methods is even more apparent. Yet to our knowledge, no studies have assessed how causal methods involving pooling individual-level, observational, longitudinal data are being applied in ID-related research. In this systematic review, we assess how these methods are used and reported in ID-related research over the last 10 years. Findings will facilitate evaluation of trends of causal methods for ID research and lead to concrete recommendations for how to apply these methods where gaps in methodological rigor are identified. Methods and analysis We will apply MeSH and text terms to identify relevant studies from EBSCO (Academic Search Complete, Business Source Premier, CINAHL, EconLit with Full Text, PsychINFO), EMBASE, PubMed, and Web of Science. Eligible studies are those that apply causal methods to account for confounding when assessing the effects of an intervention or exposure on an ID-related outcome using pooled, individual-level data from 2 or more longitudinal, observational studies. Titles, abstracts, and full-text articles, will be independently screened by two reviewers using Covidence software. Discrepancies will be resolved by a third reviewer. This systematic review protocol has been registered with PROSPERO (CRD42020204104).

scholarly journals Prisoning Indigenous Women: Strength and Resilience in the Face of Systemic Trauma

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Jana Grekul
Keyword(s):  
Criminal Justice ◽  
Criminal Justice System ◽  
Justice System ◽  
Empirical Studies ◽  
Indigenous Women ◽  
Future Research ◽  
Policy And Practice ◽  
Individual Level ◽  
The Face ◽  
Critical Feminist

The overrepresentation of Indigenous peoples in the Canadian criminal justice system is an enduring and systemic issue that must be addressed. Over the past 10 years, the proportion of women behind bars has increased by almost 30 percent; for Indigenous women, this number is 60 percent (Office of the Correctional Investigator 2017). Using a critical feminist criminological lens, this paper explores the ways in which colonial legacies, patriarchy, trauma, and systemic victimization inside and outside the criminal justice system contribute to the criminalization and (over)prisoning of Indigenous women and questions the practice of prisoning an already marginalized and oppressed group of people. Drawing on critical feminist criminological research and empirical studies, I theorize a victimization–criminalization–incarceration cycle concept to explain the ways in which societal- , institutional- , and individual-level factors intersect and impact Indigenous women’s journeys through the criminal justice system in tangled and complicated ways. Future research could provide additional insights into the potential value of this concept for policy and practice.

Emotional working memory load selectively increases negativity bias

2020 ◽  
Author(s):  
Nicholas Harp ◽  
Michael D. Dodd ◽  
Maital Neta
Keyword(s):  
Memory Load ◽  
Response Competition ◽  
Negativity Bias ◽  
Cognitive Resources ◽  
Shared Resources ◽  
Domain Specific ◽  
Specific Effects ◽  
Competing Demands ◽  
The Face ◽  
Positive Valence

Cognitive resources are needed for successful executive functioning; when resources are limited due to competing demands, task performance is impaired. Although some tasks are accomplished with relatively few resources (e.g., judging trustworthiness and emotion in others), others are more complex. Specifically, in the face of emotional ambiguity (i.e., stimuli that do not convey a clear positive or negative meaning, such as a surprised facial expression), our decisions to approach or avoid appear to rely on the availability of top-down regulatory resources to overcome an initial negativity bias. Cognition-emotion interaction theories (e.g., dual competition) posit that emotion and executive processing rely on shared resources, suggesting that competing demands would hamper these regulatory responses towards emotional ambiguity. Here, we employed a 2x2 design to investigate the effects of load (low versus high) and domain (non-emotional vs. emotional) on evaluations of surprised faces. As predicted, there were domain-specific effects, such that categorizations of surprise were more negative for emotional than non-emotional loads. Consistent with prior work, low load (regardless of domain; i.e., domain-general) was associated with greater response competition on trials resulting in a positive categorization, showing that positive categorizations are characterized by an initial negativity. This effect was diminished under high load. These results lend insight into the resources supporting a positive valence bias by demonstrating that emotion-specific regulatory resources are important for overriding the initial negativity in response to emotional ambiguity. However, both domain-general and domain-specific loads impact the underlying processes.

scholarly journals Review of Associations between Built Environment Characteristics and Severe Acute Respiratory Syndrome Coronavirus 2 Infection Risk

2021 ◽  
Vol 18 (14) ◽  
pp. 7561
Author(s):  
Jingjing Wang ◽  
Xueying Wu ◽  
Ruoyu Wang ◽  
Dongsheng He ◽  
Dongying Li ◽  
...  
Keyword(s):  
Severe Acute Respiratory Syndrome ◽  
Built Environment ◽  
Longitudinal Research ◽  
Empirical Studies ◽  
Infection Risk ◽  
Design Guidelines ◽  
Individual Level ◽  
Transit Accessibility ◽  
Level Data ◽  
Transmission Pathways

The coronavirus disease 2019 pandemic has stimulated intensive research interest in its transmission pathways and infection factors, e.g., socioeconomic and demographic characteristics, climatology, baseline health conditions or pre-existing diseases, and government policies. Meanwhile, some empirical studies suggested that built environment attributes may be associated with the transmission mechanism and infection risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, no review has been conducted to explore the effect of built environment characteristics on the infection risk. This research gap prevents government officials and urban planners from creating effective urban design guidelines to contain SARS-CoV-2 infections and face future pandemic challenges. This review summarizes evidence from 25 empirical studies and provides an overview of the effect of built environment on SARS-CoV-2 infection risk. Virus infection risk was positively associated with the density of commercial facilities, roads, and schools and with public transit accessibility, whereas it was negatively associated with the availability of green spaces. This review recommends several directions for future studies, namely using longitudinal research design and individual-level data, considering multilevel factors and extending to diversified geographic areas.

scholarly journals Interpersonal Comparisons of the Good: Epistemic not Impossible

Utilitas ◽  
2015 ◽  
Vol 28 (3) ◽  
pp. 288-313 ◽  
Author(s):  
MATHEW COAKLEY
Keyword(s):  
Institutional Choice ◽  
Individual Level ◽  
Interpersonal Comparisons ◽  
Individual Good ◽  
Level Information ◽  
Action Policy ◽  
Social Mind ◽  
The Individual

To evaluate the overall good/welfare of any action, policy or institutional choice we need some way of comparing the benefits and losses to those affected: we need to make interpersonal comparisons of the good/welfare. Yet sceptics have worried either: (1) that such comparisons are impossible as they involve an impossible introspection across individuals, getting ‘into their minds’; (2) that they are indeterminate as individual-level information is compatible with a range of welfare numbers; or (3) that they are metaphysically mysterious as they assume the existence either of a social mind or of absolute levels of welfare when no such things exist. This article argues that such scepticism can potentially be addressed if we view the problem of interpersonal comparisons as fundamentally an epistemic problem – that is, as a problem of forming justified beliefs about the overall good based on evidence of the individual good.

scholarly journals Optimal utility and probability functions for agents with finite computational precision

2020 ◽  
Author(s):  
Keno Juechems ◽  
Jan Balaguer ◽  
Bernhard Spitzer ◽  
Christopher Summerfield
Keyword(s):  
Selective Pressure ◽  
Empirical Studies ◽  
Internal Representation ◽  
Simple Assumption ◽  
Probability Functions ◽  
True Value ◽  
The Face ◽  
Economic Choices ◽  
As If

When making economic choices, such as those between goods or gambles, humans act as if their internal representation of the value and probability of a prospect is distorted away from its true value. These distortions give rise to decisions which apparently fail to maximise reward, and preferences that reverse without reason. Why would humans have evolved to encode value and probability in a distorted fashion, in the face of selective pressure for reward-maximising choices? Here, we show that under the simple assumption that humans make decisions with finite computational precision – in other words, that decisions are irreducibly corrupted by noise – the distortions of value and probability displayed by humans are approximately optimal in that they maximise reward and minimise uncertainty. In two empirical studies, we manipulate factors that change the reward-maximising form of distortion, and find that in each case, humans adapt optimally to the manipulation. This work suggests an answer to the longstanding question of why humans make “irrational” economic choices.

scholarly journals COVID-19 Vaccination: Concerns About Its Accessibility, Affordability, and Acceptability

2021 ◽  
Vol 8 ◽  
Author(s):  
Inayat Ali ◽  
Shahbaz Ali ◽  
Sehar Iqbal
Keyword(s):  
Current Literature ◽  
Cultural Factors ◽  
The Body ◽  
Vaccine Hesitancy ◽  
Individual Level ◽  
Country Level ◽  
The World ◽  
The Face ◽  
Media Reports ◽  
Current Risk

By the mid of June 2021, after an almost 1.5-year-long COVID-19 pandemic that has significantly affected the world in multiple ways, various vaccines against COVID-19 have arrived and started worldwide. Yet, economic, (geo)political, and socio-cultural factors may influence its uptake at individual and country levels. Several issues will (and already have been reported in media) revolve around this vaccination regarding its accessibility, affordability, and acceptability at an individual level and a country level. Given that in this commentary, we provoke a discussion: Who—a country as well as the individuals—would have access to it, and who would economically afford it, and who would accept it? Centering these intriguing questions, we revisit the body of literature that explicates vaccine hesitancy, refusal, and resistance, and we also draw on the current literature and media reports about vaccination against COVID-19. We suggest that these backdrops need essential attention so that everyone can afford, accept, and have access to it. Otherwise, the current risk in the face of a year-old pandemic will continue.

scholarly journals The intergenerational foundations of class voting: social mobility and electoral choice in Western Europe

2021 ◽  
Author(s):  
Giuseppe Ciccolini ◽  
Juho Härkönen
Keyword(s):  
Social Mobility ◽  
Western Europe ◽  
Empirical Studies ◽  
European Social Survey ◽  
Political Behaviour ◽  
Individual Level ◽  
Specific Effects ◽  
Electoral Choice ◽  
Class Voting ◽  
Voting Choice

Scholarly explanations of the survival of left parties and the upsurge in mainstream politics discontent often refer to voters' intergenerational mobility resulting from the post-industrial transition. As the occupational structure evolves, voters across generations are exposed to heterogenous life chances, and the social elevator progressively alters class voting patterns. Yet empirical evidence for the electoral implications of social ascent and decline as well as their reasons is mixed at best – likely because most empirical studies seek for homogenous average mobility effects. To address this limitation, we analyse the diverse consequences of mobility across social groups in a quasi-descriptive fashion by applying a cutting-edge ANOVA-based OLS model. Contrarily to prior studies, this approach allows us to identify class-specific mobility effects on voting (ceteris paribus), consistently with theory. Our analyses draw on individual-level detailed information on both intergenerational social mobility and political behaviour from the European Social Survey (rounds 1-9) across 19 Western European countries. Although scholarly accounts on the consequences of social mobility averagely find little to no support in our analyses, we do observe some significant and substantial class-specific effects of both social ascent and descent on voting choice.

scholarly journals Comparison Between Internal and External DSLs via RubyTL and Gra2MoL

2012 ◽  
pp. 109-131 ◽  
Author(s):  
Jesús Sánchez Cuadrado ◽  
Javier Luis Cánovas Izquierdo ◽  
Jesús García Molina
Keyword(s):  
Empirical Studies ◽  
Lessons Learned ◽  
The Other ◽  
Model Transformations ◽  
Domain Specific Languages ◽  
Model Driven ◽  
Domain Specific ◽  
Advantages And Disadvantages

Domain Specific Languages (DSL) are becoming increasingly more important with the emergence of Model-Driven paradigms. Most literature on DSLs is focused on describing particular languages, and there is still a lack of works that compare different approaches or carry out empirical studies regarding the construction or usage of DSLs. Several design choices must be made when building a DSL, but one important question is whether the DSL will be external or internal, since this affects the other aspects of the language. This chapter aims to provide developers confronting the internal-external dichotomy with guidance, through a comparison of the RubyTL and Gra2MoL model transformations languages, which have been built as an internal DSL and an external DSL, respectively. Both languages will first be introduced, and certain implementation issues will be discussed. The two languages will then be compared, and the advantages and disadvantages of each approach will be shown. Finally, some of the lessons learned will be presented.

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