Les territoires du vieillissement
Bibliographic record
Abstract
Le vieillissement est aujourd’hui une préoccupation montante des pouvoirs publics, une expérience vécue par un nombre croissant d’individus et un champ d’études qui, longtemps délaissé, suscite un intérêt grandissant des chercheurs en sciences sociales, tant en France qu’au Québec. Qu’il soit appréhendé en termes de politiques publiques ou d’expériences, un aspect important du vieillissement est sa dimension territoriale. Tout en étant présente dans un certain nombre de travaux, celle-ci reste cependant souvent à l’arrière-plan. Aussi, l’objectif de ce numéro est-il de rassembler des contributions permettant d’explorer les « territoires » du vieillissement. Il s’agit, d’une part, d’appréhender les espaces géographiques du vieillir tels qu’ils sont façonnés par l’action publique en interrogeant notamment les découpages spatiaux et les modalités d’intervention, et, d’autre part, de comprendre comment se vivent les vieillissements selon les milieux de vie.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.006 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.034 | 0.003 |
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".