Les motifs du suicide gériatrique: une étude exploratoire
Bibliographic record
Abstract
ABSTRACT Five semi-structured interviews were conducted, using the psychological autopsy method, in order to document the causes of geriatric suicide and to describe the interaction among suicidal elderly persons, their personal and social environments, and health care professionals. The results of this study support our hypothesis that elderly persons view suicide as a means of alleviating the psychological suffering associated with the frustration they experience on account of their inability to satisfy their basic needs. Three types of basic needs that affect the suicidal tendency of elderly persons were identified: the need to self-actualize, the need to belong, and the need to feel safe. The results also show that the people who make up the social and personal environment of elderly persons have a limited role in the prevention of suicide. This is due to their unfamiliarity with the problems surrounding the fulfilment of the basic needs of the suicidal elderly. Furthermore, as revealed in the cases studied here, the intervention of the health care system has centred mainly on the use of medication as a treatment for symptoms of psychological distress. The health care system pays little attention to the dissonance associated with the frustration suicidal elderly persons experience on account of their inability to satisfy their basic needs. Finally, the outcome of this qualitative study suggests that understanding the basic needs of the elderly can be very useful in understanding geriatric suicide.
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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 | 0.007 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| 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; 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".