Young Children Selectively Hide the Truth About Sensitive Topics
Bibliographic record
Abstract
Starting in early childhood, children are socialized to be honest. However, they are also expected to avoid telling the truth in sensitive situations if doing so could be seen as inappropriate or impolite. Across two studies (total N = 358), the reasoning of 3- to 5-year-old children in such a scenario was investigated by manipulating whether the information in question would be helpful to the recipient. The studies used a reverse rouge paradigm, in which a confederate with a highly salient red mark on her nose asked children whether she looked okay prior to having her picture taken. In Study 1, children tended to tell the truth only if they were able to observe that the mark was temporary and the confederate did not know it was there. In Study 2, children tended to tell the truth only if they were able to observe that the mark could be concealed with makeup. These findings show that for children as young as age 3, decisions about whether to tell the truth are influenced by the likelihood that the information would be helpful to the recipient.
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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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".