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Record W2891563592 · doi:10.1111/josi.12285

Masculinity in Male‐Dominated Occupations: How Teams, Time, and Tasks Shape Masculinity Contests

2018· article· en· W2891563592 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Social Issues · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMasculinitySalience (neuroscience)Dominance (genetics)Social psychologyPsychologyWork (physics)SociologyGender studiesCognitive psychologyEngineering

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.383
Threshold uncertainty score0.919

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.064
GPT teacher head0.342
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it