La robotique sociale: éléments d’un cadre d’évaluation éthique
Bibliographic record
Abstract
Après avoir introduit la notion intrigante de robotique sociale, nous présentons les éléments fondamentaux d’une évaluation éthique de cette technologie. Nous proposons une évaluation en termes de bonheur ou d’épanouissement humain, tout en soulignant les difficultés qu’elle comporte. Il faudra en effet trouver une définition acceptable de la notion contestée de bonheur, ainsi que de la nature de nos relations avec les robots sociaux. L’article se conclut par une ébauche d’évaluation qui souligne l’importance de certaines pratiques sociales pour la réalisation du bonheur et qui met en garde contre les dangers que la robotique sociale pourrait poser pour la reproduction de ces pratiques.
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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 | 0.051 | 0.063 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.004 | 0.023 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".