The Effects of Meritocracy Beliefs on Womenâs Well-Being after First-Time Gender Discrimination
Bibliographic record
Abstract
This study examined how meritocracy beliefs may buffer women from the negative psychological effects of an acute situation of gender discrimination. Although some research indirectly suggests that believing the meritocracy exists may increase well-being, group consciousness theories (e.g., Bartky, 1977) suggest that disbelieving the meritocracy exists will enhance psychological adjustment to gender discrimination. Women who reported little past experience with discrimination, and either believed or disbelieved the meritocracy exists were exposed to either a laboratory situation of discrimination or a non-discrimination failure (control) condition. Consistent with group consciousness theories, women experiencing discrimination reported greater well-being if they disbelieved the meritocracy exists, than if they were believers. In contrast, women in the control condition reported greater well-being if they believed the meritocracy exists than if they were disbelievers. Implications for coping with discrimination were discussed.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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".