MEETING THE EMPLOYMENT NEEDS OF MARGINALIZED YOUTH: A REVIEW OF PROMISING YOUTH EMPLOYMENT PROGRAMS
Bibliographic record
Abstract
The Youth Job Connection program in Ontario, Canada is designed to help multi-barriered youth transition into the workforce. As part of an evaluation of the program, a review of comparable employment programs in Canada and similar English-speaking countries was conducted, which involved 57 national and 36 international programs. The purpose of the review was to identify promising programs and explore how they support the successful transition of NEET (not in education, employment, or training) youth into the labour market. A major finding was that promising youth employment programs not only address the work needs of marginalized youth, but also life skills and life stabilization. Such programs incorporate pre-employment training, mentoring and job coaching, paid work placements, life skills training, and life stabilization supports. Life stabilization supports varied across programs, with different amounts and types offered; further research is needed to determine what life stabilization supports best help NEET youth to secure and maintain employment. Considerations for improving the quality of employment programs for NEET youth are discussed. Lastly, given that NEET youth are not a homogeneous group, youth employment programs should target subpopulations of NEET youth, like those that are marginalized.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".