Bibliographic record
Abstract
Adolescents living in care are vulnerable to a range of negative outcomes. Although the mental health and substance use problems of foster youth are widely documented, significantly less research examines the influence of caregivers on these two dimensions of health and wellbeing. Given the importance of caregivers to the development of adolescents in child welfare, the present study investigates the relationship between caregiver characteristics, caregiver attachment and placement type on mental health and substance use. The sample consists of 1,093 young people taken from the 2016 Ontario Looking After Children project who are between 16 and 17 years of age. Findings suggest that caregiver attachment, caregiver gender and the caregiver’s school expectations are all significantly associated with mental health and substance use among this population. Results will inform child welfare professionals about a number of risk-predictive factors of mental health and substance use problems among a sample of young people preparing to transition to adulthood. These findings will help service providers design policies and intervention strategies to improve the future outcomes of youth involved in child welfare.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.000 | 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".