The long, steep path to equality: Progressing on egalitarian goals.
Bibliographic record
Abstract
The present research examined the impact that perceived progress on egalitarian goals had on subsequent racial bias. In particular, a new bogus pipeline procedure was used to provide feedback to participants that they were becoming incrementally more egalitarian. The impact of this information on intergroup behavior and attitudes was tested. In particular, we looked at the effect of goal feedback on outgroup discrimination and ingroup favoritism, as well as implicit racial attitudes. Three studies found that participants demonstrated greater racial bias after receiving feedback that they were progressing on egalitarian goals versus either feedback that they were failing on egalitarian goals or no feedback. Specifically, participants who were told that they were progressively becoming more egalitarian sat farther away from Blacks and closer to Whites and demonstrated greater implicit racial prejudice. The implication of these findings for current theories on prejudice, intergroup relations, and social goals are discussed.
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How this classification was reachedexpand
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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".