Minimization, The Trojan Horse of Interviewing? Measuring Perceptions of Witness Interviewing Strategies
Bibliographic record
Abstract
Layperson perceptions of explicit and implicit witness interviewing tactics were examined. Canadian residents ( N = 293) read an interview transcript that contained a tactic (i.e., explicit threat or promise, one of four types of minimization, or no tactic) that aimed to persuade the witness to change his account. Participants were then asked to rate the amount of trouble the witness would be in if he (a) changed his account and (b) retained his original account, as well as their perceptions of the witness, interviewer, and tactic. Results showed that participants who viewed a tactic believed the witness would be in less trouble if he changed his account than if he retained his original account. All leniency-related strategies (i.e., explicit leniency and all minimization tactics) were rated as somewhat acceptable and respectful, frequently used, and legal for police to employ. Implications of these findings for witness interviewing are discussed.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".