Adults’ Detection of Deception in Children: Effect of Coaching and Age for Children's True and Fabricated Reports of Injuries
Bibliographic record
Abstract
A total of 1,074 undergraduates judged the truthfulness of children's interviews (from verbatim transcripts) about experiencing injuries serious enough to require hospital emergency room treatment. Ninety-six children (three age groups: 5-7, 8-10, and 11-14 years, 50% girls) were interviewed. At each age, 16 children told truthful accounts of actual injury experiences and 16 fabricated their reports, with half of each group coached by parents for the previous 4 days. Lies by 5- to 7-year-olds, whether coached or not, were detected at above-chance levels. In contrast, 8- to 10-year-olds' accounts that were coached, whether true or not, were more likely to be believed. For 11- to 14-year-olds, adults were less likely to accurately judge lies if they were coached. The believability of children aged 8 or above who were coached to lie is particularly disturbing in light of the finding that participants were more confident in the accuracy of their veracity decisions when judging coached reports.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 |
| 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".