Effects of label training and recall order on children's reports of a repeated event
Bibliographic record
Abstract
Summary Children aged 6–8 ( N = 84) were interviewed 1 week after participating in a repeated event. Half received training in labeling episodes of a repeated autobiographical event (Label Training); remaining children practiced talking about the same without label training (Standard Practice). Subsequently, children recalled the target event in two recall order conditions: script for the events followed by a specific instance (Generic‐first) or the reverse (Episodic‐first). Training effects were modest, but the research has important implications for interviewers' elicitation of children's labels for instances of repeated events because 98% of the labels generated were unique. The study provides additional support for the notion that recalling the script first can be beneficial. Children in the Generic‐first condition were more accurate for some types of details, and reported more information in the first half of the interview about details that changed across instances, than children in the Episodic‐first condition.
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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 | 0.001 |
| 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 | 0.001 |
| 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".