Students adrift: An examination of school disengagement among clinically referred children and youth
Notice bibliographique
Résumé
School disengagement is a significant problem experienced by many students and may be an indicator of or resultant from underlying difficulties. Indeed, the first onset of mental health difficulties typically occurs during childhood and adolescence. Utilizing large clinically referred samples of elementary and secondary school students at intake into community and inpatient mental health service agencies across the Province of Ontario, Canada, school disengagement was explored as associated with physical and mental health as well as peer and familial relationships, other and self-directed harm, and service intensity need. Age and sex differences were explored across studies to inform the development and implementation of targetted prevention and intervention programs for promoting school engagement and circumventing life-long consequences across the lifespan.\nFindings from the first paper indicated that physical and mental health distress were associated with school disengagement, while individual and relational strengths were associated with school engagement among clinically referred elementary and secondary students. Distinct predictive profiles of school disengagement were revealed for school-age children (ages 4 to 11 years) and youth (ages 12 to 18 years). Results from the second paper indicated that school disengagement was strongly associated with other- and self-directed harm among clinically referred elementary and secondary students. Notably, male youth were more likely to be at risk for harm to others, while female youth were more likely to be at risk for harm to self. Findings from the third paper indicated that students who are disengaged in school are two to four times more likely in odds to require high-intensity as compared to low-intensity services at intake into clinical services. Although service intensity need tended to decrease across development, this relationship was more stable for male students as compared to female students.\nTaken together, findings across the three papers highlight the necessity for early identification of student distress and provision of timely access to intervention. Further, the requirement of service integration across sectors working directly with students and their families is underlined. When school engagement problems are identified early, both immediate and long-term consequences, such as the manifestation of acute distress requiring crisis supports, can be prevented.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,005 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».