Susceptibility to Being Lured Away by a Stranger: A Real-World Field Test of Selective Trust in Early Childhood
Bibliographic record
Abstract
In this preregistered field study, we examined preschool children’s selective trust in a real-life situation. We investigated whether 3- to 6-year-old children (total N = 240) could be lured to a new location within their school grounds by an unfamiliar adult confederate. In a between-subjects manipulation, the confederate established either a high or a low level of personal credibility by providing information that the child knew to be either true or false. In Experiment 1, in which the confederate was female, children showed sensitivity to informational accuracy by being less willing to leave with an uninformed confederate, and this effect increased with age. In Experiment 2, in which the confederate was male, children were reluctant to leave regardless of informational accuracy. These findings point to real-world implications of epistemic-trust research and provide the first evidence regarding the early development of selective trust in a high-stakes naturalistic context.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".