Observed behaviours of pre-term children in a social play situation with classroom peers
Bibliographic record
Abstract
BACKGROUND: A number of studies have reported social adjustment problems in pre-term children. OBJECTIVES: To observe the pre-term's behaviour in an experimental situation and correlate these observed behaviours with the children's peer-rated social behaviours (withdrawal, aggression and sociability/leadership). METHODS: Of 56 pre-term children, 24 were classified as the sick pre-term (SPT) group and 32 children as the healthy pre-term (HPT) group. The comparison group comprised 56 healthy full-terms. The experimental situation used a game called Rush Hour, a labyrinth-type board game. The play situation was videotaped and behaviours (number of consecutive moves) were coded in real time. RESULTS: At 12 years of age, the sick pre-term (SPT) group exhibited fewer consecutive moves during the game than the other two groups, especially when the task became more complex (involving four consecutives moves). Moreover, the Complex Task Index was correlated with the social withdrawal score rated by peers. CONCLUSION: The at-birth sick pre-term gradually became less involved in a complex decision-making task and this was understood as a lesser ability to make a decision in a complex setting.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".