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Record W3081233070 · doi:10.18192/aporia.v11i1.4494

Violence familiale, santé mentale et justice : une recherche qualitative sur l’expérience des familles vivant avec un proche présentant des comportements violents.

2019· article· fr· W3081233070 on OpenAlexvenueno aff
Étienne Paradis-Gagné, Dave Holmes

Bibliographic record

VenueAporia · 2019
Typearticle
Languagefr
FieldPsychology
TopicPsychoanalysis and Psychopathology Research
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

La violence perpétrée à l’endroit des membres de la famille par un proche souffrant d’un trouble mental sévère est un phénomène commun en psychiatrie légale, alors que près de la moitié des familles en est victime. Cette violence engendre des impacts significatifs à l’endroit de la famille, qu’ils soient physiques, psychologiques ou sociaux. Dans cet article, nous présentons les résultats d’un des cinq thèmes d’une étude qualitative réalisée auprès de familles victimes de violence perpétrée en contexte de troubles mentaux sévères. Plus particulièrement, le thème du dispositif médico-légal sera abordé dans cet article. Les travaux de Donzelot et Foucault agissent comme fondements théoriques permettant l’étude de cette problématique sous l’angle du gouvernement des familles. Les résultats de notre recherche indiquent que ce gouvernement s’effectue par l’entremise de certains mécanismes, dont l’instrumentalisation du rôle familial. Nous abordons aussi le processus de judiciarisation dans lequel s’inscrivent les familles, et la nécessité du critère de violence afin de faire hospitaliser le proche à risque.

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)0.010
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.302
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.003

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 head0.127
GPT teacher head0.472
Teacher spread0.345 · 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 designQualitative
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

Citations1
Published2019
Admission routes1
Has abstractyes

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