Bibliographic record
Abstract
Cette étude entend montrer que la bientraitance correspond à une démarche volontaire d’assumer notre responsabilité vis-à-vis de la vulnérabilité de l’autre et en constitue la réponse la plus adaptée. La vulnérabilité, en effet, revêt une dimension essentiellement relationnelle et non substantielle. Comme en témoigne l’étymologie du terme, être vulnérable, c’est être susceptible d’être blessé, à la différence de la fragilité, qui, pour sa part, correspond à une faiblesse intrinsèque. La vulnérabilité, dans sa dimension relationnelle, peut être rapprochée de la dépendance. En ce sens, plus que la bienfaisance qui s’inscrit dans une visée téléologique, celle qui consiste à produire le bien de l’autre, la bientraitance porte sur la manière d’agir sur l’autre en situation de vulnérabilité, sur la nature même de la relation dont nous sommes directement parties prenantes.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".