Ressources psychosociales, événements transitoires et qualité de vie des personnes vieillissantes
Bibliographic record
Abstract
Based on data of the Québec longitudinal study on aging, this article examines crosswise the relation between psychosocial resources of elderly people and their quality of life. The sample of 781 subjects includes three groups of elderly people selected according to their age and their experience or not of a major transitory event: retirement (60-65), widowed (70-75) and functional incapacity (80-85). The results confirm that respondents with a high level of psychosocial resources obtain better performances in the various indexes of quality of life. However, in regards to events, the protective effect of psychosocial resources on quality of life is only shown with those people in retirement. We notice that with people with functional incapacity, social support seem to slightly contribute in maintaining quality of life. Finally, the authors propose certain explanations.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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; 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".