Children's Susceptibility to Misidentifying a Familiar Bystander From a Lineup: When Younger is Better.
Bibliographic record
Abstract
Children from 5 to 12 years of age (N = 779) were shown a videotape where a preschool teacher has money stolen from her wallet. Children were shown a lineup, and for children in the bystander condition, the lineup contained a familiar bystander without the thief. Children in the control condition viewed the same lineup but they had not seen the bystander in the videotape. Among the 11-12-year olds, participants in the bystander condition were significantly more likely than control participants to misidentify the familiar bystander. This effect was not found in children from 5 to 10 years of age. When children in the control condition were shown a lineup that contained the thief without the bystander, the 11-12-year olds were significantly more likely than the younger children to correctly identify the thief. These findings demonstrate that age can both increase and decrease the accuracy of children's lineup identification accuracy depending on the task at hand and the content of a lineup.
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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 | 0.001 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".