Anxious and Nonanxious Children's Face Identification
Bibliographic record
Abstract
Summary The impact of stress on children's face identification is not well understood, partly because of the ethical and methodological challenges posed by this line of research. In the present research, such challenges were addressed by having 4‐year‐old and 5‐year‐old children (n = 80) participate in swimming lessons that were anxiety provoking for some, but not all, children. Information processing conditions were also manipulated by varying event frequency and retention interval. Children's identifications were examined after both a short (1.5–4 weeks) and long (1 year) delay. Anxiety was largely unrelated to the accuracy of children's swimming instructor identifications; however, after a long delay, anxiety had a negative effect on correct line‐up rejections. In addition, the confidence–accuracy relation was influenced by the quality of the information processing conditions but only after a short delay. Implications for child witnesses are discussed. Copyright © 2012 John Wiley & Sons, Ltd.
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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 | 0.003 |
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".