Enfants manifestant un trouble des conduites et utilisant des services psychoéducatifs : un portrait social, familial et psychologique
Bibliographic record
Abstract
Contemporary studies suggest that most of the children who manifest conducts disorder also present personal as well as family problems. This is particularly true for children whose disorder is precocious. The identification of personal characteristics as well as social and family risk and protection factors associated with children with such problems are of great use for intervention planning and service organization for them and their families in Québec. In consequence, the objectives of this study are to identify the social, family and psychological factors that characterize children presenting conducts disorder. To do so, 62 children in treatment between the ages of 7 and 12 and with a diagnosis of conducts disorder are compared with 36 children of the same age without such diagnosis. Results show that children with conduct problems come from less stable and cohesive families as well as a lower socio-economic level. Moreover, their network of social support is less developed. The study reveals that the parents of children with conducts disorder use punishment more often. Finally, the research demonstrates that the children of this group have a much higher probability of presenting an exteriorized disorder (66 %) than the children of the other group (8 %). All these distinctive characteristics allows to correctly classify 93,8 % of the children of this study in the 2 groups. The results indicate the need to improve the parents'educational practices, increase the child's social network as well as reduce the conducts of opposition and inattention of the child. Finally, the complexity of the problems raised with the child and families commands a concerted professional intervention.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".