Etat des lieux de la Médiation animale dans les Etablissements d'hébergement pour personnes âgées dépendantes en France : De la théorie vers la conception d’un cahier des charges
Bibliographic record
Abstract
Nous nous interrogeons sur les enjeux de la presence animale au sein d’une institution medico-sociale pour tenter de repondre aux controverses juridiques, mais egalement manageriales, que souleve cette question. Notre questionnement s’inscrit dans une evolution societale favorable a la reconnaissance citoyenne de la personne âgee dependante, et plus particulierement dans ses droits sociaux et culturels. Notre problematique renvoie aux questions essentielles sur le pouvoir d’une personne vieillissante de decider elle-meme de la conduite de sa vie. C’est ce que nous etudions au travers de cet outil particulier, mais symptomatique en milieu institutionnel, qu’est l’animal d’accompagnement social.Nous debutons notre travail autour d’une reflexion pratique et theorique d’un projet d’introduction d’un chien eduque dans un etablissement d’hebergement pour personnes âgees dependantes. Nous y abordons tout d’abord les questions liees a la connaissance et a la comprehension des usagers que les activites de mediation animale mettent en exergue (1ere partie), puis a partir de ce constat, de developper les aspects manageriaux qui s’y trouvent lies en leurs propensions a inserer un projet dans un cadre institutionnel et en leurs facultes d’introduire un nouvel espace de reflexion et de construction du sens (2eme partie) - le resume de l’ensemble de ces elements constituant le cahier des charges de la mediation animale.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.011 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".