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Record W2104749250 · doi:10.7202/1015300ar

Les hommes victimes d’abus sexuels dans l’enfance

2013· article· fr· W2104749250 on OpenAlexvenueno aff
Neil Ewering, Katia Morosini, Thérèse Cuttelod, Pascal Roman

Bibliographic record

VenueCriminologie · 2013
Typearticle
Languagefr
FieldPsychology
TopicPsychoanalysis and Psychopathology Research
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Il existe dans notre société une certaine réticence à accepter l’idée qu’un garçon puisse être sexuellement abusé, bien qu’un intérêt grandissant ait été porté à l’égard de ce phénomène au cours de ces dernières années. Le tabou entourant ce type d’abus semble cependant subsister, rendant ainsi les hommes réticents à révéler leur histoire. Cette recherche a pour but de comprendre les éléments qui amènent les hommes victimes d’abus sexuels dans l’enfance à entreprendre une démarche d’aide dans le cadre d’un groupe de parole. Les quatorze entretiens qualitatifs réalisés ont permis de souligner l’apport précieux des groupes de parole pour faire face aux conséquences du traumatisme. En même temps, les données recueillies montrent l’existence d’une difficulté majeure pour les hommes à parler de l’abus et à demander de l’aide. Cette difficulté peut être mise en lien avec la problématique du refus de la passivité, le questionnement sur l’identité sexuelle et le doute quant à sa propre « normalité » provoquée par le traumatisme.

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)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.005
Scholarly communication0.0030.004
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.328
GPT teacher head0.478
Teacher spread0.150 · 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 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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