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Record W4400304189 · doi:10.1515/9782760635241-043

Les femmes sont responsables de leur assassinat par leur partenaire

2015· book-chapter· fr· W4400304189 on OpenAlexaboutno aff
Marie France Labrecque

Bibliographic record

VenueLes Presses de l'Université de Montréal eBooks · 2015
Typebook-chapter
Languagefr
FieldSocial Sciences
TopicHomicide, Infanticide, and Child Abuse
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Les femmes sont responsables de leur assassinat par leur partenaire Marie France LabrecqueEn 2013, l'OMS publiait un rapport montrant que 30 % des femmes l'chelle mondiale subiraient de la violence de la part de leur partenaire intime.Les consquences sur la sant des femmes sont nombreuses et le rapport montre qu' l'chelle mondiale, 38 % des femmes assassines l'ont t par leur partenaire intime.C'est l'Afrique qui arrive en tte des rgions du monde avec 45 %, alors que les Amriques et les pays revenu lev arrivent respectivement aux quatrime et cinquime rangs avec 36 % et 33 %.Le rapport voque que, trs souvent, c'est la femme elle-mme qui est blme pour ce qu'elle subit, mme lorsque la violence entrane sa mort.Cette propension penser que la victime -en l'occurrence la femme -est coupable de ce qui lui arrive est extrmement rpandue et seule la rectitude politique empche certaines catgories de personnes de l'affirmer.Pour lui faire cho, on retrouve l'ide selon laquelle les causes de la violence sont rechercher dans la psychologie masculine, soit que les hommes ne peuvent contrler leurs pulsions ou qu'ils font des crises de folie.Cette ide est transversale toutes les classes sociales.En 2013, alors que la Cour suprme du Canada entamait l'examen de certaines lois limitant l'exercice de la prostitution, un brillant et respect avocat affirmait la tlvision que la prostitution correspondait des besoins

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.880
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0020.001
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 head0.039
GPT teacher head0.241
Teacher spread0.201 · 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 designNot applicable
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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueLes Presses de l'Université de Montréal eBooksSame topicHomicide, Infanticide, and Child AbuseFrench-language works237,207