Obstacles à l’insertion socioprofessionnelle de personnes ayant des problèmes graves de santé mentale : données empiriques et repères théoriques
Bibliographic record
Abstract
The authors describe the barriers related to socio-professional integration of people with severe mental disorders according to different perspectives of various people involved. Focus groups (22) have been conducted in almost every region in Quebec involving 87 participants in vocational rehabilitation programs, 47 non participants and 51 employers. Eighty (80) vocational program administrator completed a questionaire. The barriers identified by these groups are compared with those described in other studies. It seems that the results are similar: the main obstacle is prejudice towards mental illness and people with mental disorders, no matter who is questionned. Barriers to socio-professional integration are reviewed according to the theories of feeling of self-efficiency (Bandura, 1977,1997), causal attribution (Weiner, 1986) and planned behavior (Ajzen, 1991, 1996). Analysis of barriers to socio-professional integration carried out in the light of these three theories, allows to suggest points of reference for new tools and integration strategies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.036 | 0.087 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".