A Behaviour‐Based Peer‐Nomination Measure of Social Withdrawal in Children
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Research on social withdrawal has been impeded by problems in the definition of the construct and in its measurement. The purpose of this study was to develop a behaviourally‐based peer‐nomination measure useful in measuring two types of withdrawal: Inhibited/Wary and Self‐Conscious/Anxious. In Study 1, we report the development of the measure. We examined whether this two‐factor structure would be supported by data obtained from multiple informants. Data were collected from children in grades 3, 5, and 7, and their peers and teachers. Intercorrelations of peer‐, teacher‐, and self‐reports of the Behaviour‐Based Peer‐Nomination Measures of social withdrawal supported the validity of the Inhibited/Wary dimension; teacher‐peer agreement also provided support for the validity of the Self‐Conscious/Anxious dimension. In Study2, the Behaviour‐Based Peer‐Nomination Measure of Social Withdrawal was cross‐validated against observed play behaviour with 120 boys and girls. Results revealed some concordances between observational and peer‐nomination data.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it