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Record W2892099421 · doi:10.1111/josi.12283

Playing to Win: Male–Male Sex‐Based Harassment and the Masculinity Contest

2018· article· en· W2892099421 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
TopicSexual Assault and Victimization Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMasculinityCONTESTOptimal distinctiveness theoryHarassmentSocial psychologyHegemonic masculinityHuman sexualityScholarshipGender studiesPsychologySociologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Abstract Workplaces characterized by masculinity contests equate masculinity with status, making it especially critical to prove masculinity and defend against threats to this identity. Past scholarship has explained male–female sex‐based harassment (MF‐SBH) as a strategy for defending threatened masculinity and the gender hierarchy more broadly. The current research examines whether male–male SBH (MM‐SBH) is also triggered by a desire to reassert a threatened sense of masculinity. Specifically, I explore the effects of two forms of masculinity threat on men's propensity to harass another man: prototypicality threat (suggesting one is gender atypical) and distinctiveness threat (suggesting the sexes are more similar than they are different). An online experiment and a lab study indicated that prototypicality threat, but not distinctiveness threat, leads to greater MM‐SBH. I suggest that masculinity contest workplaces, which especially highly prize masculinity, likely exacerbate this effect.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.594
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.052
GPT teacher head0.389
Teacher spread0.336 · 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