Bibliographic record
Abstract
Utilisé comme métaphore des multiples formes de métissage racial et culturel, le concept de créolisation risque de perdre toute valeur comme outil analytique des formes originales d’hybridation culturelle propres aux sociétés créoles. Nous proposerons ici de le réserver pour traduire les formes originales de contacts culturels entre les métropoles européennes et les populations africaines asservies dans le cadre des « sociétés de plantation ». Toutefois, la réhabilitation de ce concept passe à notre avis par deux chantiers de recherche peu ou mal explorés. Le premier est celui d’une anthropologie politique de la créolisation qui saura apporter des réponses à une série de questions (im)pertinentes sur sa nature, ses objets, ses déclinaisons dans le temps et dans les diverses sphères de la vie quotidienne. Le second chantier visera à identifier le moteur premier de ce processus. Nous suggérerons alors, dans la foulée de la théorie critique d’Axel Honneth, qu’en contexte martiniquais, c’est la quête de reconnaissance identitaire qui lui fournit son énergie créative vitale.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.034 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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".