Replications and Limitations of a Two‐Factor Model of Child Witness Credibility
Bibliographic record
Abstract
Two experiments are reported that test the idea that jurors perceive child witnesses in terms of a 2‐factor model of credibility with the factors defined as cognitive ability and honesty (Leippe & Romanczyk, 1987; Ross, Millers, & Moran, 1989). In the first experiment, 300 mock jurors watched a realistic videotaped recreation of a sexual abuse trial and rated the credibility of the child witness. Mock jurors perceived the child witness in terms of 2 factors: cognitive ability and honesty. Only honesty predicted verdict. These findings were replicated in Experiment 2 (N= 300) when only the child's testimony was presented and the perceptions of the child witness were not contaminated by the testimony of the other witnesses in the trial.
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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 | 0.179 | 0.371 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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; 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".