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Record W2114415051 · doi:10.7202/017403ar

La violence dans la communauté militaire

2005· article· en· W2114415051 on OpenAlexaffvenueabout
Deborah Harrison

Bibliographic record

VenueCriminologie · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsMilitary organizationCriminologyPolitical scienceMilitary personnelSociologyPsychologyLawHistory

Abstract

fetched live from OpenAlex

This paper applies a broad definition of violence to the physically and economically vulnerable situation of Canadian military wives. Its reports some of the results of an institutional ethnography of Canadian military wives ' work which was carried out during the early 1990s, and which made some important discoveries about how the military's priorities and forms of organization structure the way the military treats wives, tries to control wives, and benefits from wives' unpaid work. The military's major priority, combat readiness, necessitates the control the military exercises over its members and the specific mechanism of military control known as combat unit bonding. Combat bonding is in turn characterized by cultural homogeneity and its corollaries of sexism, racism, derogation of, and violence against women. Nevertheless, the military extends a diluted form of combat bonding to military wives, in order to exert control over them and appropriate their unpaid labour, loyalty — and frequently, silence. Combat-related obsession with unit morale also often translates into the cover-up of problems, which is a consideration that adds to the isolation of the many survivors of woman abuse who are members of the military community. The greater public accountability of the Canadian military which may result from the Somalia Inquiry makes this an especially opportune time to study woman abuse and other forms of family violence in the Canadian military community.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.733
Threshold uncertainty score0.413

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 studies0.0010.001
Scholarly communication0.0000.000
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 head0.228
GPT teacher head0.390
Teacher spread0.162 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations6
Published2005
Admission routes3
Has abstractyes

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