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Record W3143016293 · doi:10.20381/ruor-25971

Les comportements sexuels intrusifs chez les enfants expliqués par des intervenantes psychosociales : entre envie d'ouverture et carcan social

2021· dissertation· fr· W3143016293 on OpenAlexaboutno aff
Cécile Guignard

Bibliographic record

VenueuO Research (University of Ottawa) · 2021
Typedissertation
Languagefr
FieldPsychology
TopicPsychoanalysis and Psychopathology Research
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Peu de recherches se sont intéressées aux questions de la sexualité infantile inadéquate des enfants dans le domaine de la criminologie. Cette étude exploratoire propose d’étudier plus particulièrement les perceptions et représentations des intervenantes psychosociales concernant les comportements sexuels intrusifs des enfants de 0 à 12 ans. Il s’agit d’une recherche qualitative reposant sur les témoignages de huit personnes travaillant au Centre d’intervention en abus sexuels pour la famille de l’Outaouais et à la Fondation Marie Vincent à Montréal. En analysant les résultats de recherche, il en ressort que la vision des intervenantes se démarque par rapport à la vision générale de ces enfants. Bien loin de les considérer comme des dangers pour la société, elles insistent sur l’importance de toujours les voir comme des enfants et non pas à travers leurs gestes. Elles mettent également en lumière un aspect peu connu : leur victimisation antérieure. Ces enfants auraient vécu de multiples traumatismes qui seraient les éléments déclencheurs de ces comportements et qui n’ont aucune motivation sexuelle. Cette recherche permet d’apporter un œil nouveau sur la question sensible des comportements sexuels inadéquats entre enfants.

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)0.005
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.118
GPT teacher head0.430
Teacher spread0.311 · 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 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

Citations0
Published2021
Admission routes1
Has abstractyes

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