Representations of Elderly with Mental Health Problems Held By Psychosocial Practitioners from Community and Institutional Settings
Bibliographic record
Abstract
SUMMARY This article aims to clarify crucial issues pertaining to community and institution-based psychosocial care provided to elders suffering from mental health problems, and to the role of professional and lay systems of beliefs—i.e., representations—in this area of intervention. First, we review epidemiological, clinical, and evaluative data assessing the prevalence of mental health problems (both situational or transitional distress and severe mental health problems, with a special emphasis on the latter) among persons aged 65 and older, the specific situations and needs of this population, and the services provided to them. We then examine three promising and interrelated trends in psychosocial intervention aimed at seniors with mental health problems, that is, practices oriented toward recovery, empowerment, and social integration. Finally, we tackle the cumulative impacts of social representations of aging and the aged and of mental illness and the mentally ill, and how they can impede the implementation of interventions, services and programs based on recovery, empowerment and social integration approaches.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.009 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".