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.
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 | 0.013 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.009 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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; 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".