Bibliographic record
Abstract
On associe bien souvent le vieillissement du cerveau à une mort lente de l’esprit, menant inexorablement à des troubles de la mémoire et / ou à un déclin général des fonctions cognitives. Cette idée négative du vieillissement du cerveau et de l’esprit puise sa source dans les études scientifiques entreprises au cours des années 1970. Toutefois, vers le milieu des années 1980, un second courant d’études est apparu, qui a clairement démontré que la mort de l’esprit n’est pas du tout une conséquence inexorable du vieillissement humain. Ce courant d’étude s’applique à décrire les déterminants biologiques et psychologiques du vieillissement et à démontrer que la mémoire ne meurt pas. Une telle donnée scientifique a une portée sociale importante, car elle suggère que le support social que l’on offre à nos aînés pourrait leur permettre de garder leur mémoire intacte pour une longue période de temps.
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 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 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".