Children's <scp>under‐informative</scp> responding is associated with concealment of a transgression
Bibliographic record
Abstract
Summary Concealment (i.e., omitting information without saying anything untrue) has received little empirical attention relative to falsification (i.e., false statements). This study examined free recall reports among a sample of 349 maltreated and nonmaltreated children ages four to nine, and found that concealment of a minor transgression was significantly associated with two types of responding: generic under‐informative responding, wherein responses are relevant but imprecise, general, or vague; and specific under‐informative responding, wherein responses selectively omit incriminating details. Under‐informative responding failed to distinguish between children who would ultimately reveal the transgression when asked recognition questions and children who would answer falsely. The results suggest that children's initial recall reports may provide some insight into the likelihood that they are concealing information.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 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".