La maladie d’Alzheimer et ses conséquences sur les dimensions de la santé de la personne
Bibliographic record
Abstract
Aujourd’hui, on estime mondialement que près de 50 millions d’individus sont atteints de la maladie d’Alzheimer. Ce nombre doublera presque chaque 20 ans pour atteindre un nombre de près 75 millions de personnes en 2030 et 131,5 millions en 2050. De plus, la maladie d’Alzheimer a des conséquences sur toutes les dimensions de la personne humaine. La présente étude, qui découle d’une recherche de type « analyse documentaire », discute de ces conséquences sur quatre dimensions intrinsèques de la santé jugées les plus importantes, à savoir a) la dimension sociale, b) mentale, c) physique et et d) émotionnelle. L’état actuel de l’impact de la maladie d’Alzheimer sur ces dimensions, de même que les perspectives de stratégies d'intervention auprès des individus atteints de cette maladie, sont aussi abordés.
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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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".