Investigative Interviewing of Aboriginal Children in Cases of Suspected Sexual Abuse
Bibliographic record
Abstract
This study examined the investigative interviewing of Australian Aboriginal children in cases of alleged sexual abuse, with a focus on three commonly included components of interview protocols: ground rules, practice narrative, and substantive phase. Analysis of 70 field transcripts revealed that the overall delivery and practice of ground rules at the beginning of the interview was positively associated with the spontaneous usage of rules in children's narratives of abuse. When specifically examining the "don't know" rule, however, only practice had an effect of children's usage of the rule (as opposed to simple delivery or no delivery at all). Children spoke more words overall, and interviewers used more open-ended prompts during the substantive phase when the interviews contained a practice narrative. Children most often disclosed sexual abuse in response to an open-ended prompt; however, they produced the most words in response to suggestive prompts. This article concludes with a discussion of the effectiveness of ground rules, practice narratives, and questioning with Aboriginal children.
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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 | 0.012 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".