Masculinity in Male‐Dominated Occupations: How Teams, Time, and Tasks Shape Masculinity Contests
Bibliographic record
Abstract
Abstract We conduct a comparative case analysis of men in three male‐dominated occupations—firefighting, consulting, and business executives—to examine enactments of “masculinity contests,” which include aggressive, competitive struggles for dominance and expectations to prioritize work ahead of other life commitments. We find that these contests are neither inevitable nor experienced uniformly in male‐dominated occupations. Rather, our analysis shows that such contests are shaped and curtailed by three occupational features: the structure and organization of teams within the occupation, the temporal structure of work in the occupation, and the tasks that are core to the occupation's work. Our analysis advances current perspectives on masculinity and work by offering insight into how occupational features interact with social class to shape expectations of appropriate masculine behavior. We find some instances in which teams, time, and tasks operate distinctively by social class and other instances in which these features act similarly, across social class lines, to reduce or exacerbate the salience of masculinity contests.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| 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".