Interview and child factors that influence children’s true disclosures of a parent’s versus a stranger’s wrongdoing
Bibliographic record
Abstract
115, 6–9-year-olds (M age = 7.47 years) participated in a scripted event during which the child’s mother or a stranger broke a forbidden puppet and requested secrecy. Then, children were either (1) primed for the goal of honesty (prime), (2) asked to promise to tell the truth (oath), or (3) given no instructions (control) before responding to open-ended, direct, and suggestive questions about their own and the transgressor’s behavior. Children who had greater trust in their parents were more protective of the transgressor, disclosing later in the interview and providing fewer honest responses to direct and suggestive questions. Children were more honest in response to the suggestive than direct questions, especially when their mother had transgressed. Neither the prime nor the oath significantly promoted children’s honesty. Results advance our understanding of interview and child factors that influence children’s disclosures of transgressions committed by parents versus unfamiliar adults.
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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 | 0.002 | 0.007 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".