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Record W4402215171 · doi:10.7202/1112123ar

Mieux comprendre les processus sous-jacents des comportements des adolescents.es exposés.es à la violence familiale : un appel à une approche sensible au trauma

2023· article· fr· W4402215171 on OpenAlexaff
Katherine Maurer, Katy Konyk, Valérie Hémond-Dussault

Bibliographic record

VenueTravail social. · 2023
Typearticle
Languagefr
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsMcGill UniversityMinistère de l’Emploi et de la Solidarité Sociale (Québec)
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Dans l’ensemble des systèmes de services à la jeunesse, le comportement des jeunes fait l’objet d’une attention prioritaire et d’une surveillance considérable. Dans les approches sensibles aux traumas, les comportements des adolescents.es sont considérés.es comme la pointe de l’iceberg, indiquant des modifications associées aux expériences traumatogènes sous-jacentes. Nous avons recueilli les récits d’expériences d’états d’hyper- et d’hypoactivation initiée par des stimuli environnementaux chez 16 adolescents.es ayant subi de la violence familiale et leurs stratégies variées de régulation de l’affect. Les résultats issus des expériences vécues sont en accord avec les trois concepts centraux des approches sensibles aux traumas — les modifications adaptatives au stress, la régulation de l’affect et l’attachement — à la suite d’expositions traumatogènes. Les résultats démontrent le besoin d’intégrer les approches sensibles aux traumas dans notre façon de soutenir les adolescents.es en situation de vulnérabilité.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.054
GPT teacher head0.314
Teacher spread0.260 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations1
Published2023
Admission routes1
Has abstractyes

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