Bibliographic record
Abstract
Dans son livre Protecting the Vulnerable, Robert Goodin défend la thèse de l’existence d’une responsabilité à l’égard de toutes les personnes vulnérables. L’intention de ce texte est de montrer comment il fonde cette responsabilité dans une théorie libérale des devoirs. La première partie expose l’argumentation par laquelle Goodin établit que la teneur normative des devoirs moraux ne réside pas dans la volonté, mais dans la vulnérabilité des personnes. La deuxième partie présente les grandes lignes de son Principe de protection des personnes vulnérables. La troisième partie argue que l’État est le premier responsable dans la protection des personnes vulnérables, car c’est lui qui possède le pouvoir d’action pour prévenir les relations d’exploitation qui causent la vulnérabilité moralement problématique. La quatrième partie présente trois raisons qui mettent en lumière l’intérêt actuel de la contribution de Goodin.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.031 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 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".