‘It’s like an opportunity for me to have freedom and to move forward with my life’: Experiences of youth engaging in education and employment after a first episode of psychosis
Bibliographic record
Abstract
Background Many youth experiencing first-episode psychosis face more academic and vocational challenges than their peers. Yet few studies have explored the perspectives of youth who are not in education, employment or training (NEET) following psychosis and contrasted these with those of their counterparts engaged in education and/or employment. To address this gap, this study explored personal journeys of (re-)engaging in education and employment after psychosis.Methods Using a descriptive qualitative design, grounded in self-determination theory, in-depth interviews were conducted with individuals receiving services at an early intervention program for psychosis. Eight youth who were NEET and six who were working/in education participated.Results The analysis produced three themes that were salient to both youth with psychosis who were NEET and those in work/school: relatedness or the importance of belonging and being cared for; perceived competence; and a desire for a sense of autonomy. The themes, aligned with the self-determination theory, showed youths negotiating their decision to (re-)engage in education and employment.Discussion Engaging in education and employment seems part of a larger process that draws on significant past experiences and the envisioned future self. Efforts targeting vocational functioning are best situated in understandings of identity, recovery, and psychological needs.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| 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".