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Record W3175024724 · doi:10.31234/osf.io/f9mwv

Needs satisfaction in intergroup contact: A multi-national study of pathways toward social change

2020· preprint· en· W3175024724 on OpenAlexaff
Tabea Häßler, Johannes Ullrich, Simone Sebben, Nurit Shnabel, Michelle Bernardino, Daniel Valdenegro, Colette van Laar, Roberto González, Emilio Paolo Visintin, Linda R. Tropp, Ruth Ditlmann, Dominic Abrams, Anna Lisa Aydin, Adrienne Pereira, Hema Preya Selvanathan, Jorina von Zimmermann, Nóra Anna Lantos, Mario Sainz, Andreas Glenz, Anna Kende, Hana Oberpfalzerová, Michał Bilewicz, Marija Branković, Masi Noor, Michael H. Pasek, Stephen C. Wright, Iris Žeželj, Olga Kuzawińska, Edona Maloku, Sabine Otten, Pelin Gül, Orly Bareket, Dinka Čorkalo Biruški, Luiza Mugnol Ugarte, Evgeny Osin, Roberto Baiocco, Jonathan Cook, Maneeza Dawood, Lisa Droogendyk, Angélica Herrera Loyo, Margareta Jelić, Kaltrina Kelmendi, Jessica Pistella

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsSheridan CollegeSimon Fraser University
FundersFondo de Financiamiento de Centros de Investigación en Áreas PrioritariasFundacja na rzecz Nauki PolskiejEuropean Regional Development FundEconomic and Social Research CouncilAgencia Nacional de Investigación y DesarrolloFonds Wetenschappelijk OnderzoekNational Research University Higher School of EconomicsMinistarstvo Prosvete, Nauke i Tehnološkog RazvojaStaatssekretariat für Bildung, Forschung und InnovationCentro de Estudios de Conflicto y Cohesión SocialSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsDisadvantagedPsychologySocial psychologyEmpowermentContact hypothesisEthnic groupSocial changePsychological interventionSocial supportPrejudice (legal term)Political science

Abstract

fetched live from OpenAlex

What role does intergroup contact play in promoting support for social change toward greater equality? Drawing on the needs-based model of reconciliation, we theorized that when inequality between groups is perceived as illegitimate, disadvantaged groups members will experience a need for empowerment and advantaged groups members a need for acceptance. When intergroup contact satisfies each group’s needs, it should result in more mutual support for social change. Using four sets of survey data collected through the Zurich Intergroup Project in 23 countries, we tested several preregistered predictions derived from the above reasoning across a large variety of operationalizations. Two studies of disadvantaged groups (Ns=689 ethnic minority members in Study 1 and 3,382 sexual/gender minorities in Study 2) support the hypothesis that, after accounting for the effects of intergroup contact and perceived illegitimacy, satisfying the need for empowerment (but not acceptance) during contact is positively related with support for social change. Two studies with advantaged groups (Ns=2,937 ethnic majority members in Study 3 and 4,203 cis-heterosexual individuals in Study 4) showed that, after accounting for illegitimacy and intergroup contact, satisfying the need for acceptance (but also empowerment) is positively related with support for social change. Overall, these findings suggest that intergroup contact is compatible with efforts to promote social change when group-specific needs are met. Thus, to encourage support for social change among both disadvantaged and advantaged group members, it is essential that besides promoting mutual acceptance, intergroup contact interventions also give voice to and empower members of disadvantaged groups.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.328
GPT teacher head0.419
Teacher spread0.091 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2020
Admission routes1
Has abstractyes

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