Better Supporting Youth Aging Out of Foster Care in Quebec: A Life Course Perspective
Bibliographic record
Abstract
Every year, it is estimated that 2,000 youth in Quebec’s child welfare system age out of care. Young people leaving care often face a number of complex challenges that make this transition period particularly difficult, such as pressures to rapidly conform to dominant ideals of ‘adulthood’, insufficient and inadequate support services, a lack of meaningful and supportive relationships, and the lasting impact of unresolved traumas faced during childhood and adolescence. These realities make them particularly susceptible to difficulties such as housing instability, unemployment, substance misuse, school attrition, mental health problems and poverty in adulthood. Although there has been growing recognition of the importance of providing post-majority services to better support youth as they age out of the foster care system in Quebec, such services continue to be largely insufficient to meet the diverse and evolving needs of this population. This major research project seeks to explore the experiences of youth as they age out of care in Quebec through a life course perspective, by adopting a theoretical and inductive approach to investigate the social, structural and relational factors emerging in the literature that act to shape their realities during this transition period. The method of thematic analysis was utilized in order to derive themes and patterns from a selected body of literature, comprising of 12 academic articles and gray literature discussing the experiences of youth leaving care in Quebec. Keywords: youth, aging out of care, transition to adulthood, foster care, Quebec, programme qualification jeunesse, life course perspective
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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 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".