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Record W2137717299 · doi:10.1177/0146167211429804

Can Intergroup Behaviors Be Emitted Out of Self-Determined Reasons? Testing the Role of Group Norms and Behavioral Congruence in the Internalization of Discrimination and Parity Behaviors

2011· article· en· W2137717299 on OpenAlexafffund
Catherine E. Amiot, Sophie Sansfaçon, Winnifred R. Louis, Martin Yelle

Bibliographic record

VenuePersonality and Social Psychology Bulletin · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsUniversité du Québec en OutaouaisUniversité du Québec à Montréal
FundersHealth Research Foundation
KeywordsPsychologyIngroups and outgroupsSocial psychologyCongruence (geometry)Norm (philosophy)In-group favoritismDevelopmental psychologySocial identity theorySocial group

Abstract

fetched live from OpenAlex

Bringing self-determination theory to understand why intergroup behaviors are emitted, two studies were conducted to investigate how group norms and individuals' congruence with these norms predicted self-determination to pursue two types of intergroup behaviors (parity and discrimination). Experiment 1 (N = 97) manipulated ingroup norms in favor of parity versus of discrimination and assessed the behavior participants displayed (congruent or incongruent with the norm) and their motivations for emitting this behavior. The manipulated norms significantly influenced group members' behaviors. When the ingroup norm was parity, participants whose behavior was congruent with this norm reported more self-determination to emit this behavior. When the ingroup norm was prodiscrimination, participants whose behavior was congruent with this norm were less self-determined. Experiment 2 (N = 139) replicated and extended these findings in a more conflictual intergroup setting. Results are discussed in light of motivational and intergroup theories.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.258
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.076
GPT teacher head0.358
Teacher spread0.282 · 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 teacher head, 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

Citations48
Published2011
Admission routes2
Has abstractyes

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