Mock juror's perceptions of a child witness passing or failing a truth and lies discussion or promising to tell the truth
Bibliographic record
Abstract
Summary This study examined the effect of a child passing or failing the UK truth and lies discussion (TLD) compared with the Canadian promise to tell the truth on mock jurors' decisions regarding witness credibility and truthfulness and defendant guilt. Ninety‐two participants read a vignette that described a child witnessing his father physically attacking his mother. The vignette was manipulated for witness age (age 4 years and age 8 years) and TLD performance/promise. Supporting the hypotheses, participants rated the witness's credibility and truthfulness significantly higher after a witness passed a TLD and after promising to tell the truth. The age of the child witness did not significantly affect jurors' decision making. The results are discussed in relation to arguments regarding the abolition of the UK's TLD in favour of introducing a promise to tell the truth.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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; both teacher heads agree on what is shown here.
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".