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Record W2776399164 · doi:10.7202/1042351ar

L’opération honour en perspective : la politique changeante du genre dans les Forces armées canadiennes

2017· article· fr· W2776399164 on OpenAlexaffvenueabout
Maya Eichler

Bibliographic record

VenueÉtudes internationales · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsHumanitiesHonourPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

En 2015 était rendu public l’ Examen externe sur l’inconduite sexuelle et le harcèlement sexuel dans les Forces armées canadiennes de Marie Deschamps. Après la publication du rapport Deschamps, les autorités militaires ont finalement admis qu’il existait une culture sexualisée menant au harcèlement et aux agressions sexuelles et qu’un changement culturel à long terme s’imposait. Les Forces armées canadiennes ont choisi une approche opérationnelle (l’opération honour ) pour résoudre le problème de la violence sexuelle. Désormais, c’est une plateforme de « force par la diversité » qui est mise en avant pour traiter les dynamiques du genre au sein de l’organisation. Cet article examine la façon dont l’approche militaire actuelle relativement aux questions de genre se compare aux approches précédentes.

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.

How this classification was reachedexpand

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.794
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.039
GPT teacher head0.318
Teacher spread0.278 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2017
Admission routes3
Has abstractyes

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