COVID-19 : la levée du tabou autour du critère de l’âge ?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
De manière générale, la référence à l’âge dans notre société est à la fois admise et sujette au débat. A l’instar d’autres pays, la pandémie COVID-19 en France a ébranlé la cohérence de notre système de santé. La peur engendrée a modifié les repères : la notion de triage est apparue et a succédé à celle de priorisation commune en médecine. Dans cette situation de crise sanitaire, est-ce que le recours éventuel au critère de l’âge est pertinent et peut-il remettre en cause le principe de justice entre les générations? Nous tenterons d’y répondre grâce aux éléments apportés par Axel Gosseries et Véronique Fournier lors d’une discussion organisée par l’association EthicA durant le congrès, les « Questions d’éthiques » à Nantes en novembre 2020.
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.
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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 0.000 |
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 it