Les territoires de l’intervention à domicile : regards croisés France-Québec Christian Jetté, Catherine Lenzi (dir.), Paris, L’Harmattan, 2020, 264 p.
Bibliographic record
Abstract
Les auteursMichel Billet est sociologue, spécialiste des questions relatives au handicap et à la vieillesse.Il est également président de l'Union nationale des instances et offices de retraités et personnes âgées, et membre du conseil scientifique sciences humaines de France Alzheimer.Didier Martz est philosophe, essayiste, conférencier, formateur, consultant, animateur de cafés et de goûters de philosophie, chroniqueur radio.Il est membre et animateur du think tank « Droit de Cité » à Reims, de l'association Jalmalv ( Jusqu'à la mort accompagner la vie) et de divers comités d'éthique. L'ouvrageDans un contexte démographique inédit, où le monde occidental est vieillissant et où la proportion des plus vieux n'a jamais été aussi importante, les personnes âgées sont devenues un enjeu majeur, une problématique de société, tant au niveau sociologique que politique ou économique.L'objet de ce livre a pour but de mieux comprendre la Caisse nationale d'assurance vieillesse | Telecharge le 20/11/2025 sur https://shs.cairn.info(IP: 149.143.190.123)
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".