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Record W7127084114 · doi:10.26034/la.cfs.2025.6058

Article court: Terrains de recherche en contextes autochtones

2025· article· fr· W7127084114 on OpenAlexafffund
P. Boucher, Mylène Jaccoud, Renée Brassard

Bibliographic record

VenueCriminologie Forensique et Sécurité · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsUniversité LavalUniversité de MontréalCarleton University
FundersUniversité de Montréal
KeywordsContext (archaeology)Poison controlOrganised crimeDomestic violence

Abstract

fetched live from OpenAlex

La prévalence et la persistance de la violence conjugale représentent une importante source de préoccupation au sein des communautés autochtones. Cependant, les connaissances concernant l’arrêt de la violence conjugale chez les hommes autochtones sont insuffisantes, ce à quoi la présente étude s'efforce de remédier. L'objectif de cette communication est de partager mes expériences de recherche en contextes autochtones et d'offrir un aperçu des parcours de guérison des hommes innus et innus-naskapis. J’y analyse les contextes entourant la violence, les bifurcations et les sphères de changements qui ponctuent les processus d’arrêt de la violence chez les hommes autochtones. Des entretiens qualitatifs ont été menés dans des communautés innues et naskapies auprès de six hommes ayant vécu des dynamiques de violence conjugale. Les résultats démontrent que la majorité des hommes ont identifié les contextes coloniaux, communautaires et familiaux comme sources de violence. L'intersection entre un contexte d'épuisement et de déstabilisation crée un environnement propice à un processus de bifurcation vers l'arrêt de la violence conjugale. Accompagnés par diverses sources de soutien, les hommes résolvent les sources de la violence afin d’apaiser leurs souffrances et ainsi réagir différemment aux expériences éprouvantes.

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)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.676
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.351
GPT teacher head0.482
Teacher spread0.131 · 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
Published2025
Admission routes2
Has abstractyes

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