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Record W4410360263 · doi:10.1080/15614263.2025.2504385

Investigative interviews conducted with minor victims of sexual abuse: a comparison of children and adolescents

2025· article· en· W4410360263 on OpenAlexafffund
Élodie Larose‐Grégoire, Mireille Cyr, Jacinthe Dion

Bibliographic record

VenuePolice Practice and Research · 2025
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversité du Québec à Trois-RivièresUniversité de Montréal
FundersFonds de recherche du Québec
KeywordsMinor (academic)PsychologySexual abuseClinical psychologySuicide preventionHuman factors and ergonomicsDevelopmental psychologyPoison controlSocial psychologyMedical emergencyMedicinePolitical science

Abstract

fetched live from OpenAlex

To increase knowledge about the forensic interviews conducted with adolescents and children, this study compared 44 forensic interviews conducted with adolescents (ages 13–16) with those conducted with children (ages 7–10) victims of sexual abuse (SA). Comparisons were made on 1) the elaboration of victims’ responses regarding the type of content describing the SA and 2) the types of questions interviewers made to elicit this content. Both age groups provided highly-elaborated responses about actions and body parts, although children provided more evasive responses than adolescents regarding other potential victims or witnesses and the SA context. The interviewers employed more suggestive questions with adolescents about the SA context, and more invitations with children about internal referents. Interviewers are recommended to use more open-ended questions with adolescents, and future studies should focus on the reasons for using more suggestive questioning with adolescents.

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)0.004
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.015
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.106
GPT teacher head0.464
Teacher spread0.358 · 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 designObservational
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
Published2025
Admission routes2
Has abstractyes

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