L’animation : un moyen de développer les déterminants de l'autonomie des personnes âgées
Bibliographic record
Abstract
The important percentage of elderly persons in our countries is compensated by the fact that they keep a validity and physical and mental capacities that are little different from those of younger generations. But this process should be used as it deserves to be and the capacities of these generations should be used to the best and to a minimum and their role in society should not be downplayed.Louis Ploton writes that «the process of developing autonomy goes through a preliminary methodological stage that consists in refusing to view our elderly persons, with whom we are engaged in a conversation, as subjects who have lost something, to consider them as people that resort to other mechanisms, to other ways of doing things, that use other relational modalities in a given context».We start from the hypothesis that the degree of autonomy of elderly persons (their level of health being the same) is part of an interaction in the exercise of an adequate «leadership», of their degree of motivation and of the quality of their social insertion.That is why we are presenting to you a research-action program, set up within the framework of the clubs of elderly persons (that is Golden Age clubs), in a Canadian province, aiming to use the channel of the «leadership» of the elderly to increase their motivation, to improve their social insertion and their autonomy. We are keen on proposing the animation, on having the elderly take matters into their hands, as a lever that can act positively, in a global way, on the determining factors of autonomy, particularly on motivation and social insertion. That will be based on an argumentative initiative, for the lack of being able to offer formal experimental proofs, in the absence of satisfactory means of measuring the phenomena in interactions.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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; 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".