Ingroup identification as a moderator of positive–negative asymmetry in social discrimination
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Group members typically favour ingroups over outgroups, particularly when distributing positive rather than negative resources. The present investigation examined whether the positive–negative discrimination asymmetry in the minimal group paradigm varies as a function of ingroup identification. After being categorized into arbitrary groups, participants expressing low to high ingroup identification allocated positive, neutral, or negative outcomes on the basis of group membership (i.e. ingroup versus outgroup recipients). The interaction between ingroup identification and outcome valence revealed that identification influenced the magnitude of discrimination asymmetry. Specifically, increases in identification led to discrimination in favour of the ingroup for positive but not negative outcomes. The implications for intergroup behaviour more generally are considered. Copyright © 2002 John Wiley & Sons, Ltd.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it