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Record W6987286524

Sortir la violence de sa vie, sans sortir de l'autochtonie : l'importance de mieux comprendre les besoins des femmes autochtones en milieux urbains

2013· other· fr· W6987286524 on OpenAlexaboutno aff

Bibliographic record

VenueConstellation (Université du Québec à Chicoutimi) · 2013
Typeother
Languagefr
FieldArts and Humanities
TopicCybernetics and Technology in Society
Canadian institutionsnot available
Fundersnot available
KeywordsPoison controlSexual abuseDomestic violenceContext (archaeology)Child abuse
DOInot available

Abstract

fetched live from OpenAlex

Cet article présente les résultats dune étude sinscrivant dans une action concertée portant sur la violence conjugale envers les femmes autochtones du Québec. Notre recherche a porté sur les besoins et lexpérience de ces femmes en milieu urbain. Le corpus était constitué de trois groupes de discussion comprenant 24 hommes et femmes autochtones de Québec et de Montréal, tous concernés par la problématique de la violence conjugale. Lanalyse a permis de dégager trois besoins en matière daide psychosociale : faire connaître la situation et le vécu des femmes autochtones victimes de violence conjugale, bénéficier dune aide adaptée à la réalité culturelle des Autochtones et être en lien avec des ressources ou avec un réseau naturel dentraide dès son arrivée en ville. Des interventions permettant de répondre à ces besoins ont également été identifiées. Elles sinscrivent dans une perspective de conscientisation et de responsabilisation collective sur la violence conjugale et misent sur lautodétermination (empowerment) des femmes autochtones, de leur famille et de leur collectivité.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.716
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0020.005
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0960.000

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 head0.016
GPT teacher head0.208
Teacher spread0.192 · 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; both teacher heads agree on what is shown here.

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
Published2013
Admission routes1
Has abstractyes

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