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Helpful Only in the Abstract?

2009· article· en· W2121212422 on OpenAlexaff
Jacquie D. Vorauer, Stacey J. Sasaki

Bibliographic record

VenuePsychological Science · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsEmpathyPsychologyPrejudice (legal term)Social psychologyPerspective (graphical)Empathic concernPerspective-takingContext (archaeology)MediationPsychological interventionContact hypothesisDevelopmental psychology

Abstract

fetched live from OpenAlex

This study tested the hypothesis that empathizing with out-group members is beneficial outside of, but not within, intergroup-contact situations. We predicted that in the context of intergroup interaction, the potential for evaluation would lead individuals' perspective-taking efforts to take on an egocentric and counterproductive flavor. As predicted, when empathy was instantiated during an intergroup exchange, it failed to exert its usual positive effect on intergroup attitudes and led higher-prejudice individuals to derogate an out-group member who was an interaction partner; empathy also blocked the prejudice-reducing influence of intergroup contact. Mediation analyses indicated that activation of negative metastereotypes regarding the out-group's view of the in-group accounted for these effects. The findings, which demonstrate ironic effects of empathy in intergroup interaction, indicate that interventions based on studies of individuals' reactions to out-group members in the abstract might have dramatically different consequences when put into practice in real exchanges between members of different 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)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.999
Threshold uncertainty score0.166

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0030.004
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0500.014

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 head0.073
GPT teacher head0.464
Teacher spread0.390 · 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.

Study designObservational
DomainReporting
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

Citations161
Published2009
Admission routes1
Has abstractyes

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