High School Dropouts’ Movements In and Out of Work and Education During the Transition to Adulthood
Bibliographic record
Abstract
Abstract High school dropouts are likely to experience challenges during the transition to adulthood, notably in terms of employment. For them, jobs are often hard to find, low-paid, and unstable. Many dropouts thus re-enroll in school, and some go on to obtain a high school or vocational diploma or even a college degree. However, others do not re-enroll or abandon school again, while some disengage from both education and employment. In other words, high school dropouts experience heterogeneous pathways during their transition to adulthood. A small but growing body of research attempt to document these pathways and their antecedents and consequences, as well as effective programs and services to reconnect those at risk of marginalization. This chapter provides a broad overview of this literature, focusing on the transition to adulthood among high school dropouts in Canada, the United States, and Europe. In closing, key policies and practical implications are discussed.
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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 | 0.000 | 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".