Le maintien en emploi de personnes souffrant d’une maladie mentale
Bibliographic record
Abstract
Work integration for people with mental illness is complex and difficult. For those who obtain employment, job tenure is typically brief. The purpose of this article is to identify the personal determinants of job tenure of people with severe mental illness registered in prevocational programs. Out of 105 people with mental illness who are employed during the nine month follow-up after their registration in a prevocational program, close to 50 % kept their first job. According to the job tenure indicators (first or last job obtained), the results from survival analyses show that the significant variables are related to background characteristics (financial aid), work-related characteristics (length of absence from the workplace, type of job), cognitive (executive functions), and clinical aspects (paranoid symptoms). In conclusion, the authors propose not only to assess personal variables to better understand the work integration process for people with mental illness, but also to conduct a systematic evaluation of the job site.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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; both teacher heads agree on what is shown here.
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".