Zero‐sum beliefs shape advantaged allies’ support for collective action
Bibliographic record
Abstract
Abstract Three studies (N1 = 1,019;N2 = 312;N3 = 494) tested whether seeing intergroup relations as inherently antagonistic shaped advantaged social groups’ allyship intentions. More specifically, we tested whether endorsingzero‐sum beliefsrelated to their willingness to support system‐challenging and system‐supporting collective action. Zero‐sum beliefs were negatively correlated with system‐challenging and positively correlated with system‐supporting collective action intentions. Zero‐sum beliefs were more common among advantaged than disadvantaged groups and translated into lower allyship intentions. Advantaged group members with higher levels of zero‐sum beliefs were also more likely to experience anger and fear when considering the demographic racial shift in the United States. Increased fear was associated with greater support for system‐supporting and lower support for system‐challenging collective action. We find consistent evidence that advantaged group members see intergroup relations as a zero‐sum game and that these beliefs are negatively related to their intentions to become allies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".