UNDERSTANDING “NO SPECIAL FAVORS”

2018 ◽  
Vol 15 (02) ◽  
pp. 323-352 ◽  
Author(s):  
Alicia D. Simmons ◽  
Lawrence D. Bobo
Keyword(s):  
Racial Inequality ◽  
Predictive Power ◽  
Racial Politics ◽  
Relative Weight ◽  
Valid Measure ◽  
Group Status ◽  
Group Position ◽  
Racial Resentment ◽  
Social Concerns ◽  
Multimethod Approach

AbstractDespite its predictive power, there is substantial debate about the attitudes measured by the racial resentment scale (RRS) and the relative weight of each. One group contends that the RRS is a valid measure of racial animus, foregrounding a basic psychological acrimony; some foreground social concerns about group status hierarchies; and yet others assert that the RRS is an invalid measure of racial enmity, instead primarily tapping non-racial principles and politics. We use a multimethod approach to address these debates, mapping the frames of reference respondents use in explaining their RRS answers. We find that the RRS fundamentally measures racial concerns and minimally taps non-racial politics. Although RRS responses reflect psychological acrimony, this orientation is substantially outweighed by social concerns about relative group position. Moreover, RRS responses substantially reflect beliefs about the relevance of race in the contemporary US and the sources of racial inequality, and values about individualism and fairness. We discuss how one of the most potent measures of present-day racial prejudice is rightly understood, and the implications for theory and research at the intersection of race and politics.

White Supervisor and Subordinate Beliefs about Black/White Inequality: Implications for Understanding and Reducing Workplace Racial Disparities

2020 ◽  
Author(s):  
Ryan A Smith ◽  
Matthew O Hunt
Keyword(s):  
Racial Inequality ◽  
Future Research ◽  
Cross Sectional ◽  
Intergroup Contact Theory ◽  
Racial Stratification ◽  
Social Surveys ◽  
Group Position ◽  
Self Interest ◽  
Stratification Beliefs ◽  
Levels Of Support

Abstract This study examines the racial stratification beliefs of white Americans who have decision-making power at work (managers and supervisors) and of those (subordinates) who lack such power. We focus on whether these groups vary in overall levels of support for, and in determinants of, beliefs about racial inequality. Pooled cross-sectional analyses of data from the 1977 to 2014 General Social Surveys (GSS) reveal that, among both white supervisors and subordinates, support is greatest for a motivation-based explanation of black disadvantage, followed by (in order) explanations focusing on blacks’ lesser educational chances, discrimination against blacks, and finally, blacks’ supposed lesser ability. In line with Group Position Theory, our multivariate analyses reveal few differences across the supervisory divide in levels of support for, or in the determinants of, whites’ beliefs about black disadvantage. Differences that do exist align with alternative perspectives including Social Dominance Theory, a Group Self-Interest Model, and Intergroup Contact Theory. We conclude by discussing the theoretical and methodological implications of our findings for future research pertaining to what does and does not work to ameliorate racial inequality in the workplace.

Group position, consciousness and perception of police fairness among urban residents in China

2019 ◽  
Vol 42 (4) ◽  
pp. 640-653
Author(s):  
Yuning Wu ◽  
Ivan Sun ◽  
Feng Li ◽  
Siyu Liu
Keyword(s):  
Neighborhood Disorder ◽  
Group Consciousness ◽  
Group Status ◽  
Content Type ◽  
Group Position ◽  
Evaluation Policies ◽  
Perception Of Police ◽  
Attitudes Toward Police ◽  
Performance And Evaluation ◽  
Practical Implications

Purpose The purpose of this paper is to assess the importance of group position and consciousness in predicting people’s perceptions of police fairness in China. Design/methodology/approach This study used survey data collected from 1,095 respondents in Shanghai. Multivariate regression was used to analyze the effects of group positions and group consciousness variables on perceived police fairness, controlling for personal, experiential and neighborhood factors. Findings Regardless of their own hukou status, individuals who live in high migrant areas expressed less favorable attitudes toward police fairness. Meanwhile, people who displayed greater degrees of sensitivity to bias in law rated police fairness less favorably, whereas people who expressed higher levels of moral alignment with the law and belief in no choice but to obey the police rated police fairness more favorably. Lower levels of neighborhood disorder and higher degrees of cohesion were also associated with more positive evaluations of police fairness. Research limitations/implications The authors’ measure of migrant concentration was constructed based on respondents’ own assessments of this neighborhood feature. Future studies should consider using objective measures to supplement the construction of migrant concentration variables. The authors’ group consciousness variables are limited as they are general, non-residential status specific and only capture part of the traditionally conceptualized variable of group consciousness. Future study should employ better-worded items that can tap precisely into people’s various dimensions of social consciousness based on their group status. Practical implications Training officers has to give a high priority to the principles of both procedural and distributive justice, and implement performance and evaluation policies that support fair and responsive police behavior, particularly during situations where citizens report crime to and seek help from the police. Originality/value Despite their high relevance, variables reflecting group position have received marginal attention in previous research on public evaluations of the police in China. This study represents a first attempt to examine how the interactions between residence status and the level of neighborhood migrant concentration influence Chinese attitudes toward police fairness.

TRENDS: Racial Resentment and Public Opinion across the Racial Divide

2019 ◽  
Vol 72 (4) ◽  
pp. 767-784 ◽  
Author(s):  
Cindy D. Kam ◽  
Camille D. Burge
Keyword(s):  
Public Opinion ◽  
Racial Inequality ◽  
Black Americans ◽  
White Americans ◽  
Black And White ◽  
Racial Resentment ◽  
Quantitative Examination ◽  
Racial Divide ◽  
Black Public Opinion

Research on racial resentment has been meticulously developed, tested, and analyzed with white Americans in mind—yet black Americans have also responded to this battery for the past three decades. To date, little to nothing is known about the implications of responses to the racial resentment battery among black Americans. A burgeoning literature on blacks’ intragroup attitudes suggests that over time, black Americans have increasingly attributed racial inequality to individual failings as opposed to structural forces. As such, unpacking blacks’ responses to the canonical racial resentment battery may provide further insight into the micro-foundations of black public opinion. Using survey data from 1986 to 2016, we engage in a systematic quantitative examination of the role of racial resentment in predicting black and white Americans’ opinions on racial policies, “race-coded” policies, and nonracialized policies. Along the way, we highlight the existence of wide heterogeneity among black respondents and call for further investigation that identifies similarities and differences in the foundations of white and black public opinion.

scholarly journals 1010. Cross-Species Translation of Correlates of Protection for COVID-19 Vaccine Candidates Using Quantitative Tools

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S595-S596
Author(s):  
Anna Largajolli ◽  
Nele Plock ◽  
Bhargava Kandala ◽  
Akshita Chawla ◽  
Seth H Robey ◽  
...  
Keyword(s):  
Clinical Efficacy ◽  
Predictive Power ◽  
Meta Analysis ◽  
Relative Weight ◽  
Quantitative Model ◽  
Incidence Rates ◽  
Independent Contractor ◽  
Vaccine Candidates ◽  
Nasal Swabs ◽  
Peak Viral Load

Abstract Background Several COVID-19 vaccines have been authorized, and the need for rapid, further modification is anticipated. This work uses a Model-Based Meta-Analysis (MBMA) to relate, across species, immunogenicity to peak viral load (VL) after challenge and to clinical efficacy. Together with non-clinical and/or early clinical immunogenicity data (ECID), this enables prediction of a candidate vaccine’s clinical efficacy. The goal of this work was to enable the accelerated development of vaccine candidates by supporting Go/No-Go and study design decisions, and the resulting MBMA can be instrumental in decisions not to progress candidates to late stage development. Methods A literature review with pre-specified inclusion/exclusion criteria enabled creation of a database including nonclinical serum neutralizing titers (SN), peak VL after challenge with SARS-CoV-2 (VL), along with data from several clinical vaccine candidates. Rhesus Macaque (RM) and golden hamster (GH) were selected (due to availability and consistency of data) for MBMA modeling. For both RM and GH, peak post-challenge VL in lung and nasal tissues were used as surrogates for clinical disease and were related to pre-challenge SN via the MBMA. The VL predictions from the RM MBMA were scaled to incidence rates in humans, with a scaling factor between RM and human SN estimated using early Phase 3 efficacy data. This enabled clinical efficacy predictions based on ECID. To qualify the model’s predictive power, efficacies of COVID-19 vaccine candidates were compared to those predicted from the MBMA and their respective Ph1/2 SN data. More recently available clinical data enable building a clinical MBMA; comparing this to the RM MBMA further supports SN as predictive. Results The MBMA analyses identified a sigmoidal decrease in VL (increasing protection) with increase in SN in all three species, with more SN needed (in both RM and GH) for protection in nasal swabs than in BAL (see figure). The comparison between predicted and reported clinical efficacies demonstrated the model’s predictive power across vaccine platforms. RM and GH MBMA Protection Models and Translational Prediction with Observed Efficacies Sizes of circles indicate relative weight of the data in the respective quantitative model. Model and data visualizations have been harmonized (across tissue-types) separately for each of RM and GH using VACHER (Lommerse, et al., CPT:PSP, in press). Conclusion By quantifying adjustments needed between species and assays, translational MBMA can inform development decisions by using nonclinical SN and VL, and ECID to predict protection from COVID-19. Disclosures Anna Largajolli, PhD, Certara (Employee) Nele Plock, PhD, Certara (Employee, Shareholder)Merck & Co., Inc. (Independent Contractor) Bhargava Kandala, PhD, Merck & Co., Inc. (Employee, Shareholder) Akshita Chawla, PhD, Merck & Co., Inc. (Employee, Shareholder) Seth H. Robey, PhD, Merck & Co., Inc. (Employee, Shareholder) Kenny Watson, PhD, Certara (Employee, Shareholder) Raj Thatavarti, MS, Certara (Employee, Shareholder) Sheri Dubey, PhD, Merck & Co., Inc. (Employee, Shareholder) S. Y. Amy Cheung, PhD, Certara (Employee, Shareholder) Rik de Greef, MSc, Certara (Employee, Shareholder) Jeffrey R. Sachs, PhD, Merck & Co., Inc. (Employee, Shareholder)

scholarly journals The Dynamics of Racial Resentment across the 50 US States

2019 ◽  
Vol 18 (2) ◽  
pp. 527-538 ◽  
Author(s):  
Candis Watts Smith ◽  
Rebecca J. Kreitzer ◽  
Feiya Suo
Keyword(s):  
Racial Inequality ◽  
Census Data ◽  
National Level ◽  
State Level ◽  
The United States ◽  
Dynamic State ◽  
Multilevel Regression ◽  
Racial Resentment ◽  
Nationally Representative ◽  
Over Time

Although many scholars who study the role of racial animus in Americans’ political attitudes and policy preferences do so to help us understand national-level politics, (racialized) policy is largely shaped at the state level. States are laboratories of policy innovation whose experiments can exacerbate or ameliorate racial inequality. In this article, we develop state-level scores of racial resentment. By using linear multilevel regression and poststratification weighting techniques and by linking nationally representative survey data with US Census data, we create time-varying, dynamic state-level estimates of racial resentment from 1988 to 2016. These measures enable us to explore the extent to which subnational levels of racial attitudes fluctuate over time and to provide a comparative analysis of state-level racial resentment scores across space and time. We find that states’ levels of racial animus change slowly, with some exhibiting increases over time while others do just the opposite. Southern states’ reputation for having the highest levels of racial resentment has been challenged by states across various regions of the United States. Many states had their lowest levels of symbolic racism decades ago, contrary to the traditional American narrative of racial progress.

Decoding the Drug War

2020 ◽  
pp. 264-282
Author(s):  
Michael L. Rosino
Keyword(s):  
Digital Media ◽  
Racial Inequality ◽  
Racial Politics ◽  
War On Drugs ◽  
Audience Reception ◽  
Social Critique ◽  
Active Set ◽  
Media Messages ◽  
Audience Effects ◽  
Interpretive Practices

A set of punitive drug-control policies and militaristic policing practices, commonly referred to as the “War on Drugs,” are intertwined with race, racism, and racial inequality. The War on Drugs debate in digital media allows us to think about an important aspect of racialized media: audience reception. Drawing on Stuart Hall’s theory of encoding/decoding, the author points out that the audience effects of digital media do not straightforwardly reflect the messages encoded by media producers. Instead, they are the product of an active set of interpretive practices that result in different decodings of digital media. The author draws on an analysis of online comments on news articles on the War on Drugs to demonstrate some aspects of the racial politics of digital audience reception, highlighting three forms of racialized decoding: (1) dominant decoding of the racialized social critique, (2) oppositional decoding as racialized othering, and (3) dominant decoding as racialized othering. Through this analysis of online comment sections, the author shows that, in the digital sphere, people not only engage in the decoding of media messages but actively articulate and clarify identities and worldviews. Understanding this process of digital decoding helps illuminate the racial politics of meaning in contemporary society.

Lexical Comprehension in Young Children With Developmental Delays

1994 ◽  
Vol 3 (1) ◽  
pp. 79-88 ◽  
Author(s):  
Theresa A. Kouri
Keyword(s):  
Young Children ◽  
Developmental Delays ◽  
Normal Development ◽  
Clinical Applications ◽  
Group Status ◽  
Novel Object ◽  
Related Information ◽  
Comprehension Skills ◽  
Lexical Items ◽  
Lexical Concepts

Lexical comprehension skills were examined in 20 young children (aged 28–45 months) with developmental delays (DD) and 20 children (aged 19–34 months) with normal development (ND). Each was assigned to either a story-like script condition or a simple ostensive labeling condition in which the names of three novel object and action items were presented over two experimental sessions. During the experimental sessions, receptive knowledge of the lexical items was assessed through a series of target and generalization probes. Results indicated that all children, irrespective of group status, acquired more lexical concepts in the ostensive labeling condition than in the story narrative condition. Overall, both groups acquired more object than action words, although subjects with ND comprehended more action words than subjects with DD. More target than generalization items were also comprehended by both groups. It is concluded that young children’s comprehension of new lexical concepts is facilitated more by a context in which simple ostensive labels accompany the presentation of specific objects and actions than one in which objects and actions are surrounded by thematic and event-related information. Various clinical applications focusing on the lexical training of young children with DD are discussed.

Karriere-Ressourcen messen

Diagnostica ◽  
2019 ◽  
Vol 65 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Andreas Hirschi ◽  
Madeleine Hänggli ◽  
Noemi Nagy ◽  
Franziska Baumeler ◽  
Claire Johnston ◽  
...  
Keyword(s):  
Relative Weight ◽  
Wird Eine

Zusammenfassung. Die existierende Literatur schlägt eine Vielzahl von potentiellen Prädiktoren für Karriereerfolg vor, welche in ihrer Menge kaum auf eine ökonomische Art erhoben werden können. Um diesen Umstand anzugehen, haben Hirschi, Nagy, Baumeler, Johnston und Spurk (2018) den Karriere-Ressourcen Fragebogen (CRQ; Career Resources Questionnaire) entwickelt und in einer englischsprachigen Version validiert. Basierend auf einer Integration von theoretischer und metaanalytischer Forschung misst der Fragebogen 13 distinkte Faktoren, welche 4 übergeordnete Dimensionen repräsentieren: Wissen und Kompetenzen, Motivation, Umfeld und Aktivitäten bezüglich Karriere. In der vorliegenden Studie wird eine Validierung der deutschsprachigen Version mittels N = 1 666 Personen (Studierende und Berufstätige) vorgenommen. Die Ergebnisse bestätigen die Reliabilität sowie die Faktorstruktur des Fragebogens. Mittels Relative-Weight-Analysen konnte zudem die Wichtigkeit von verschiedenen Faktoren für unterschiedliche Arten von Karriereerfolg gezeigt werden. Das Messinstrument bietet Forschenden und Praktizierenden eine ökonomische, reliable und valide Möglichkeit, um Schlüsselfaktoren für Karriereerfolg zu erfassen.

The Effects of Status on Perceived Warmth and Competence

2010 ◽  
Vol 41 (2) ◽  
pp. 82-87 ◽  
Author(s):  
Marco Brambilla ◽  
Simona Sacchi ◽  
Federica Castellini ◽  
Paola Riva
Keyword(s):  
Social Status ◽  
Perceived Competence ◽  
Goal Achievement ◽  
Group Status ◽  
The Relationship

Research has shown that perceived group status positively predicts competence stereotypes but does not positively predict warmth stereotypes. The present study identified circumstances in which group status positively predicts both warmth and competence judgments. Students (N = 86) rated one of two groups (psychologists vs. engineers) presented as either being low or high in social status on warmth and competence. Results showed that status positively predicted competence stereotypes for both groups, but warmth stereotypes only for psychologists, for whom warmth traits are perceived to be functional in goal achievement. Moreover, for psychologists perceived warmth mediated the relationship between status and perceived competence. Results are discussed in terms of the contextual malleability of the relationship between perceived status, warmth, and competence.

Sign in / Sign up

Export Citation Format

Share Document