La gérontopsychiatrie à l’Hôpital en santé mentale Albert-Prévost : favoriser la résilience des patients âgés grâce à la psychiatrie positive
Bibliographic record
Abstract
Quebec's population is aging, a situation that will only increase over the next decades. While in 2017 approximately 1 in 5 people belonged to the 65 and over the age group, this will be the case for a quarter of Quebecers in 2031, and almost a third of them by 2061. The trajectories of aging are unique and depend on various factors, such as the vulnerabilities and strengths of the individual and his interaction with his loved ones and society. Old age is often accompanied by a series of losses. This creates constraints that hamper autonomy. Disease can be very confronting for the aging individual with reduced capacities and become a reminder of an inevitable death approaching. It can sometimes become a certain form of trauma. This process challenges caregivers to think about a therapeutic projects promoting resilience, a concept that goes beyond adjustment, and that suggests potential for development and psychological rebound. At Albert-Prévost Mental Health Hospital, geriatric psychiatry patients often have a triple vulnerability: cognitive impairment, physical disability and chronic or de novo psychiatric illness. Their needs are therefore multiple and complex. This is how, in 2017, we developed a positive psychiatry approach in our geriatric psychiatry service. Our goal is to promote the well-being and resilience of our patients through different levels of positive intervention. The strategies can then range from simple positive orientation during the psychiatric interview to positive psychotherapy, including psychoeducation, bibliotherapy and the prescription of certain positive psychology intervention.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".