Bibliographic record
Abstract
Carlo Avierl Clius 1 L'anthropologie apparat comme tant consubstantielle l'histoire d'Hati , parce que les vnements qui ont engendr l'Indpendance du pays semblaient tre le produit d'une lutte de races 1 . Cette racialisation des faits se comprend dans un cadre paradigmatique largi, saisir tant dans la synchronie que dans la diachronie. Le dveloppement, dans la colonie franaise de Saint-Domingue au XVIII e sicle, de la grande plantation dvolue la monoculture sucrire s'accompagne de la bipolarisation de la socit coloniale selon le schma matre blanc / esclave noir. La segmentation raciale est alors juxtapose la stratification socio-conomique, dj sanctionne par une coupure juridique (le Code noir, 1685) 2 . Ainsi la "race" finit par devenir consubstantielle l'ordre esclavagiste qui mrite en consquence le qualificatif de socio-racial 3 . La question raciale situe donc le rapport l'anthropologie en amont des vnements ayant abouti 1804. Et comme le discours anthropologique commence s'laborer partir des premiers contacts des Europens avec le Nouveau Monde, il s'ensuit que la Carabe, o se sont effectus ces premiers contacts, en constitue un des lieux fondateurs 4 . 2 Advenus simultanment, l'espace carabe reconfigur et le discours anthropologique nouent des liens originels et interfconds. Pourtant devenue discipline autonome, l'anthropologie entretiendra des rapports difficiles avec la rgion, apparue comme undisciplined 5 , dont les formes d'expriences dfient ses postulats de base. La puret Cheminement anthropologique en Hati
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".