YOUTH EMPLOYMENT & MENTAL HEALTH IN NORTHERN ONTARIO
Bibliographic record
Abstract
Young people in northern communities experience several vulnerabilities related to employment and mental health. Although these vulnerabilities have been studied separately, very little research has been published on how they intersect. The present study focuses on youth aged 16-29 years who have experienced a self-identified mental health issue and are seeking employment in Northern Ontario. The purpose is to explore the interaction of employment and mental health challenges for youth living in northern communities, with a particular focus on youth support needs and youth service delivery preferences. Fifteen participants (eight youth and seven employment counsellors) were purposively sampled from a provincial youth employment program. Participants completed audio-recorded, semi-structured interviews about employment histories, mental health experiences and locally available services and supports. Transcripts were coded and analyzed using interpretive description methodology. Three themes emerged from the analysis, conceptualized using the metaphor of an employment journey. The first theme, “roadblocks”, captures the challenging life circumstances experienced by youth, including complexities related to geography, and describes how both can interfere with a young person’s employment success. The second theme, “pit stops”, describes the different ways youth come into contact with employment counsellors, and the critical role these individuals play in supporting young people in and out of the workplace. The final theme, “maps for success”, outlines what would be helpful for youth and for the employment counsellors that support them. Two key messages were elucidated from the results. First, the support needs of youth are complex, multi-layered and interdependent. Second, youth employment services are inadequately resourced to support young job seekers with complex needs. Findings are limited in their transferability to other service delivery contexts. Recommendations on how to respond to the complex, intersecting vulnerabilities of youth in Northern Ontario are provided.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".