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Record W2619090042 · doi:10.7202/1039794ar

Soutien des intervieweurs et collaboration des enfants lors des entrevues d’enquête1

2017· article· fr· W2619090042 on OpenAlexaffvenue
Jennifer Lewy, Mireille Cyr, Jacinthe Dion

Bibliographic record

VenueCriminologie · 2017
Typearticle
Languagefr
FieldPsychology
TopicDeception detection and forensic psychology
Canadian institutionsUniversité du Québec à ChicoutimiUniversité de Montréal
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Plusieurs facteurs sont susceptibles d’influencer la dynamique des entrevues d’enquête menées auprès d’enfants que l’on soupçonne victimes d’agression sexuelle (AS). Cette étude vise à examiner l’effet du soutien de l’intervieweur, des caractéristiques de l’enfant et de l’AS alléguée sur la collaboration offerte par l’enfant. Ainsi, 90 entrevues conduites par des policiers auprès d’enfants âgés de 4 à 13 ans ont été transcrites et analysées à l’aide de grilles mesurant le soutien et le non-soutien offerts verbalement par les intervieweurs et les comportements de collaboration et de résistance exprimés par les enfants. Des analyses de variance multivariées indiquent que les intervieweurs se comportent de façon similaire, peu importe l’âge de l’enfant, et que les jeunes enfants collaborent significativement moins que les préadolescents. Les résultats des régressions multiples hiérarchiques indiquent que le soutien offert par l’intervieweur est un facteur important associé tant à la collaboration qu’à la résistance de l’enfant. Le soutien des intervieweurs est un facteur plus important que les caractéristiques des enfants ou de leurs agressions pour expliquer la résistance des enfants. La discussion aborde l’importance du soutien pour aider les enfants à collaborer lorsqu’ils dévoilent leur AS.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.918
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.009
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.007

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 head0.458
GPT teacher head0.495
Teacher spread0.038 · 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 designOther design
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
Published2017
Admission routes2
Has abstractyes

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