Usage des benzodiazépines chez les personnes âgées : état des connaissances
Bibliographic record
Abstract
Cet article passe en revue la littérature concernant la dépendance aux benzodiazépines (BZD) chez la population des personnes âgées de 65 ans et plus. Alors que les conséquences négatives reliées à l’utilisation prolongée des BZD sont bien connues, le phénomène de la dépendance à ces substances chez cette population l’est beaucoup moins. Il n’existe toujours pas de consensus autour de la définition du problème. L’usage continu des BZD peut être davantage problématique chez les personnes âgées pour qui la tolérance aux agents chimiques diminue avec l’âge. Les facteurs de risque impliqués dans l’usage chronique sont une combinaison interactive entre les caractéristiques des aînés et celles des médecins prescripteurs. Des pistes de recherche étayées sur un changement paradigmatique sont lancées afin de bonifier la recherche dans ce domaine.
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 | 0.006 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".