Witness Factors and Their Influence on Jurors’ Perceptions and Verdicts
Bibliographic record
Abstract
Mock jurors ( N = 363) read a mock trial transcript that examined the influence of age of witness (child vs. adult), the witness’s relationship to the crime (bystander vs. victim), and the type of eyewitness identification decision (positive vs. foil vs. nonidentification) on their perception of the witness’s accuracy for other crime details, credibility, and verdict. The offender’s physical description was perceived as more accurate with a positive versus foil identification. The perceived accuracy of the offender’s description did not vary with a positive identification versus nonidentification. Child victims were perceived as credible as adult victims, but a child as a bystander was perceived as less credible than an adult as a bystander. More guilty verdicts were rendered with a positive identification versus a foil identification or a nonidentification. Guilty verdicts were made at a comparable rate when the witness made a foil identification or a nonidentification.
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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) | 0.000 | 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".