Bibliographic record
Abstract
Axe sur les enjeux sociaux, economiques et politiques de notre temps, cet ouvrage est une reflexion sans complaisance sur le vieillissement. Il met en lumiere les savoirs actuels sur les habitats et leur amenagement au regard de la demande implicite de la societe qui vise a ce que les gens vieillissent chez eux, dans leur communaute. Ou en est la recherche a ce sujet au Quebec et dans les collectivites francophones ? Quelles sont les politiques publiques et les pratiques d’amenagement dans ce contexte ? Comment adapter et creer des milieux de vie sains, surs et accueillants pour tous les âges dans les regions et les villes d’aujourd’hui et de demain ? Les auteurs, des chercheurs et des professionnels issus de plusieurs disciplines, analysent cette question dans un contexte nouveau ou le vieillissement demographique a d’abord capte l’attention des domaines de la sante, de l’economie du travail et de la fiscalite. Trois thematiques structurent l’ouvrage : les facons de penser le vieillissement et d’anticiper son impact, l’evaluation des espaces publics et de la mobilite et les transformations a imaginer pour les milieux bâtis. L’originalite de ce livre tient ainsi a la juxtaposition de problemes et d’approches envisages dans une perspective interdisciplinaire.
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.009 | 0.026 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.006 |
| 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".