Police interviews with adult reporters of historical child sexual abuse: Exploring the link between verbal rapport and information obtained
Bibliographic record
Abstract
BACKGROUND: Police officers and academics agree that rapport is important when interviewing victims and witnesses, although previous research has found that officers do not always engage in rapport-building behaviours during interviews. Interviews with complainants reporting historical child sexual abuse may be key to police investigations, as physical or corroborating evidence is often not available. OBJECTIVE: This research explored the possible effect of verbal rapport-building behaviour on the elicitation of investigation-relevant details in historical child sexual abuse victim interviews. PARTICIPANTS AND SETTING: A sample of interviews (N = 44) with adults reporting historical child sexual abuse in a northern Canadian territory with a large Indigenous population was examined. METHODS: Interviews were evaluated for interviewer verbal rapport-building behaviours, using a framework derived from Tickle-Degnen and Rosenthal's three domain model of rapport. Interviews were also coded for details given by the interviewee. RESULTS: Results showed that verbal rapport was significantly positively correlated with both total details (r = 0.621, p < .001) and abuse relevant details (r = 0.518, p < .001). Chronological Rapport Maps were piloted, to show the use of rapport behaviours over the course of interviews, and the possible effect over time of these behaviours on information yield. CONCLUSIONS: The results show that information yield is higher when more rapport behaviours are demonstrated and both parties work together harmoniously, even after a long delay. Further research is needed on the experience of police interviews for Indigenous complainants.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".