Potential Reporters of Suspected Child Maltreatment are Sensitive to the Amount of Evidence and the Potential Consequences of Reporting
Bibliographic record
Abstract
= 368) and two experiments (Exp. 1 N = 444; Exp. 2 N =416), undergraduate students and online community participants reported their anticipated actions and beliefs when confronted with evidence of child maltreatment. Participants reviewed case dossiers built from real-world child neglect cases in which increasing levels of evidence were presented and the consequences of reporting, or not reporting, the maltreatment were made salient to the adult or child. The experiments revealed a clear difficulty in deciding whether or not to report suspected maltreatment. Highlighting the impact on either the child or the adult by describing potential consequences moved participants either closer to (child-salient) or farther from (adult-salient) a formal report. Participants were also sensitive to the amount of evidence to support a suspicion of abuse, which influenced the likelihood of a formal report. This work suggests that increasing the salience of maltreatment consequences to child victims may increase the likelihood that suspected maltreatment will be reported.
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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 | 0.002 | 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".