Capitaine Graeber : le pirate et l’antidestin. Ou les errements de l’effondrement
Bibliographic record
Abstract
L’intérêt que David Graeber portait aux pirates de l’Âge d’or (1690-1730) était directement relié à ses préoccupations socio-anthropologiques concernant le présent. L’enjeu de cet article est d’analyser le paradigme pirate qu’il a ainsi développé, de le confronter aux pirate studies et d’en faire ressortir la perspective anarchiste qui a toujours été la sienne. Là où des historiens lisent dans les pirates de purs reflets des Léviathans qu’ils arraisonnent, Graeber attachent en effet son regard sur des pirates et des métis pirates ayant créé d’étonnants modèles sociaux dont l’égalitarisme et le caractère profondément acéphale sont pour lui des sources d’inspiration. D’anthropologue anarchiste, Graeber devient donc Capitaine Graeber, anthropologue pirate. En tant que tel, il se défait de toute assignation au « destin », qui plus est celui qui prophétiserait l’« effondrement » de l’imaginaire politique et donc des sociétés humaines. Car la piraterie est précisément l’« antidestin » qui permet de penser par-delà la peur des Grands Monstres et de trouver de la lumière au milieu des plus sombres errements.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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".