The effect of listenability factors on the comprehension of police cautions.
Bibliographic record
Abstract
We examined the extent to which modifying a police caution using three listenability factors (Instructions, Listing, and Explanations) improved comprehension. A 2 (Instructions vs. No Instructions) × 2 (Listing vs. No Listing) × 2 (Explanations vs. No Explanations) between-participants design was used. Participants (N = 160) were presented verbally with one of eight cautions and asked to record their understanding of the legal rights contained in the caution. Results showed a main effect of Explanations, thus suggesting that repeating the information contained in the caution in different terms increased comprehension. Partial support was also found for the hypothesized additive interactions of modifications, as the caution containing all three modifications resulted in the highest level of comprehension. The implications of these findings for the comprehension of police cautions, and verbally delivered information in general, 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".