Bibliographic record
Abstract
Le retour des préoccupations éthiques traduit le malaise profond de nos sociétés, malaise consécutif au triomphe de la rationalité instrumentale qui a tendance à faire des êtres humains des objets manipulables. Cette perversion de la rationalité s'exprime particulièrement dans les entreprises. Pourtant, de nos jours, celles-ci essayent d'intégrer un souci éthique dans leur fonctionnement. On peut constater que, ce faisant, elles ont pour but, le plus souvent, de développer un consensus profond autour des idéaux dont elles se réclament, aussi bien de la part de leurs membres que de l'ensemble du corps social. Aussi doit-on se demander quels sont les véritables enjeux éthiques auxquels sont confrontées les organisations modernes. Dans ce but sont passées en revue les éthiques de la conviction, de la responsabilité et de la discussion. Une quatrième forme d'éthique, l'éthique de la finitude, est envisagée. Les organisations peuvent-elles lui faire une place? La question mérite, en tout cas, d'être posée.
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 | 0.012 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.040 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".