The relation between interviewers’ personal characteristics and investigative interview performance in a child sexual abuse context
Bibliographic record
Abstract
Despite important progress in knowledge about interview ‘best practice’ with child victims, few studies had yet evaluated the impact of interviewers’ personal characteristics on adherence to these ‘best practice’. This study was designed to determine whether interviewers’ personal characteristics are associated with adherence to a structured interview protocol (National Institute of Child and Human Development), the use of open-ended questions and the amount of details provided in children’s responses during investigative interviews with alleged victims of child sexual abuse. 114 interviews were scored from 13 police investigators after they followed a one-week training program. Results showed that experience, emotional intelligence, Extraversion, Agreeableness, Conscientiousness and Neuroticism were related with adherence to the protocol and ratio of open-ended questions. Cognitive abilities were related to the amount of details obtained from the child. Generalized estimating equations were used to compare relative contribution of each variable. These findings raise questions about how investigative interviewers are selected and trained.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.030 | 0.187 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".