Development and Validation of the Masculinity Contest Culture Scale
Bibliographic record
Abstract
Abstract We developed and validated a 20‐item Masculinity Contest Culture (MCC) scale as a workplace culture assessment. Participants indicated agreement or disagreement with workplace norm statements beginning with a common stem (“In my work environment…”). Exploratory (Study 1) and confirmatory (Study 2) factor analyses yielded four MCC subfactors: Show No Weakness , Strength and Stamina , Put Work First , and Dog Eat Dog . CFA and reliability analyses supported a second‐order factor (with four subfactors), consistent with an overarching (though multifaceted) masculinity contest construct. Across two studies in which individuals rated their work environments, the MCC correlated with: (a) negative organizational dynamics (e.g., poor culture and toxic leadership), (b) dominative coworker behaviors (e.g., bullying and harassment), (d) negative individual work attitudes (e.g., burnout, turnover intentions), and (e) poor personal well‐being. Results were generally consistent across studies and participant sex, suggesting that masculinity contest norms harm organizations and the men and women within them.
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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 | 0.010 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".