Bibliographic record
Abstract
La crise de la COVID-19 fut révélatrice d’une prise de conscience de la valeur des emplois du care. Nous avons constaté l’importance économique et sociale du « prendre soin » et de la vulnérabilité de nos sociétés. Ces emplois, ayant un fort accent relationnel, sont au cœur de problématiques qui articulent un lien nécessaire pour maintenir ou consolider les interrelations sociales. Notre réflexion porte sur l’importance de cultiver une éthique du care (Gilligan, 1982), conjuguée à la proposition de Cova de considérer une économie du lien. L’économie n’est pas réductible à l’échange de biens ou de services (Commons, 1959; Perroux, 1963), mais concerne davantage les relations entre individus; le lien a primauté sur le bien. Souhaitons que cette économie du lien puisse s’imposer et ne soit pas au contraire dominée par une économie numérique largement « imposée » durant le confinement.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".