Du Néguanthropos et de ses artifices. Se savoir non inhumain au XXIe siècle
Bibliographic record
Abstract
Cet article s’inscrit dans le cadre théorique de la néguanthropologie dont les jalons ont été posés dans les derniers travaux de Bernard Stiegler. En dépassant les angles morts du débat concernant la critique de l’anthropocentrisme, cet article propose d’adopter une position néguanthropocentrée, notamment par rapport aux enjeux de l’ère Anthropocène. Le but d’une telle démarche est double. D’une part, il s’agit de montrer que ce que nous avons coutume de qualifier d’« humain » n’existe pas au-delà de la relation qui nous lie avec l’artificiel. D’autre part, il s’agit de repenser cette relation entre l’humain et l’artificiel afin de combattre l’anthropisation et, du coup, de témoigner de notre capacité de devenir non inhumain.e.s.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.034 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".