Implantation multisite du programme Integrated Psychological Treatment (IPT) pour les personnes souffrant de schizophrénie. Élaboration d’une version renouvelée
Bibliographic record
Abstract
Brenner's Integrated Psychological Treatment (IPT) program (Brenner et al., 1992 ; Pomini et al., 1998), a cognitive-behavioural approach, was implemented in nine of Quebec's clinical settings that treat people with schizophrenia. A study allowed an evaluation of the IPT program in each location, with emphasis on the level of satisfaction of both participants and professionals, the program's strong points, and areas where improvements were needed. The results have shown that the implementation of the program has been successful in all nine clinical settings. Professionals and participants appreciated the IPT program not only for its hierarchic structure that considers the rehabilitation needs of people affected by schizophrenia, but also for its customised application framework, which allows a regular follow-up of a similar group of patients over the course of a one year period. As a result of this study, the modifications proposed and additions have enabled the creation of a Quebec version of the IPT program, which better achieves its objectives, particularly those relating to the maintenance and generalisation of social learning in the context of a participant's real-life situation.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".