Les classifications du vieillissement
Bibliographic record
Abstract
L’objectif de cet article vise à confronter les classifications savantes relatives à la vieillesse aux représentations sociales du vieillissement de femmes âgées de 65 ans et plus. En utilisant la théorie des classifications interactives de Hacking (2006), nous chercherons à cerner de quelle manière les classifications de l’âge, de l’activité et de la fragilité résonne dans les représentations du vieillissement de femmes aînées, interrogées dans le cadre d’une récente recherche qualitative. Les interactions entre ces deux dimensions catégorielles s’expriment en termes de résistance face à la catégorie « femmes aînées/âgées ». La notion de l’activité est utilisée tant pour réfuter la vieillesse que pour assurer cette « continuité de soi » et son engagement dans la vie malgré le processus de fragilisation vécu.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".