Alzheimer, deuils et reconnaissance. Proches aidants face à des disparitions progressives
Bibliographic record
Abstract
Cet article se propose de réfléchir aux deuils liés à la maladie d’Alzheimer, c’est-à-dire les disparitions progressives d’éléments qui faisaient de la personne malade ce qu’elle était, aux yeux de ses proches. En interrogeant les rapports aux deuils des proches aidants de personnes atteintes de la maladie d’Alzheimer, nous souhaitons soulever les dimensions variables du deuil auxquelles sont exposés ces proches, qui ont affaire à une « mort multidimensionnelle » et progressive, dans laquelle le langage et le rapport à l’autre jouent un rôle clé.Dans les cas singuliers touchant des personnes atteintes de la maladie d’Alzheimer, les proches aidants semblent être ainsi dans des situations de deuils multiples, ou multipliés, renouvelés. À la douleur de la mort (physique) d’un proche viennent alors se greffer − notamment par le langage et l’étrangeté de l’autre à ce qui nous rassemblait et ce par quoi nous étions liés − des deuils relationnels ou deuils d’une certaine relation passée.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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; 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".