Leaving care in Quebec: The EDJeP Longitudinal Study
Bibliographic record
Abstract
Abstract This article reports results from the first longitudinal and representative study of a cohort of youth leaving care in Quebec (EDJeP study). Focusing on education and residential stability, we show that youths from youth protection services accumulate important vulnerabilities that make their transition out of youth protection services very challenging. In particular, compared to their peers in the general population, youth leaving care have significant educational delays that complicate their integration into the labor market. Our data suggest that a system that better encourages school perseverance and success would limit these academic delays and promote graduation. We also find that nearly half of the youths from the protection system experienced residential instability in the months following their release from placement and that 20% of them experienced at least one episode of homelessness. These last elements clearly show the extent of the vulnerability of youth leaving the protection system. We suggest some areas of reflection to improve this situation.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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 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".