The effect of a judicial declaration of competence on the perceived credibility of children and defendants
Bibliographic record
Abstract
Purpose. Three studies were conducted to determine the effect of a judicial declaration of competence on perceptions of credibility towards a child witness and an adult defendant. Methods. Undergraduates read vignettes about a 5‐ or a 13‐year‐old child witness or an adult involved in either a sexual assault case or a motor vehicle accident case. In the child conditions, the case was either preceded by a declaration of the child's competence to testify (either specific or general declaration) or there was no mention of the competence of the child. Participants then rated the perceived credibility of both the complainant/witness and the defendant. Results. A judicial declaration of competence that was targeted at the particular child sometimes increased the credibility ratings of the child and decreased those of the defendant, sometimes to levels beyond those observed in the adult conditions. These effects on credibility were not replicated when a general declaration of all children's competence was used. In fact, the general declaration sometimes resulted in more positive ratings of the defendant. Conclusions. These results are discussed in the context of recommendations for the use of competence evaluations and declarations of competence in court.
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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 | 0.011 | 0.116 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".