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Record W4380263877 · doi:10.1177/0095327x231178522

Masculine Conformity and Social Dominance’s Relation With Organizational Culture Change

2023· article· en· W4380263877 on OpenAlex
Michelle Enxi Deng, Adelheid A. M. Nicol, Cindy Suurd Ralph

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueArmed Forces & Society · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsConformityDominance (genetics)Social psychologyNormativeSocial dominance orientationMasculinityPsychologyNormative social influenceInstitutionSociologySocial groupSocial changePolitical scienceGender studiesDemocracyPoliticsSocial scienceLaw

Abstract

fetched live from OpenAlex

While the workforce is becoming increasingly more modernized and diverse, masculine norms are prevalent among certain organizations that remain male-dominated. Namely, the military is an institution that promotes masculine stereotypes and a culture where such stereotypes form a normative system of hierarchy. This study, surveying 145 military cadets at the Royal Military College of Canada (RMC), found that social dominance orientation, or preference for in-group superiority and out-group inequality, was associated with higher conformity to masculine norms. Moreover, higher levels of social dominance explained the relationship between masculine conformity and less acceptance toward cultural reforms in the Canadian Armed Forces (CAF). These findings suggest that achieving true organizational culture change in the military involves challenging not only masculine norms but, more importantly, the dominant and nonegalitarian attitudes of social dominance.

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)0.000
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 score0.446
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.065
GPT teacher head0.277
Teacher spread0.212 · 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