Traite des Noirs, traite des Blanches : même combat?
Bibliographic record
Abstract
L’article interroge la légitimité de l’usage du mot « traite » dans l’expression « traite des Blanches », devenue « traite des femmes et des enfants » en 1921 et « traite des êtres humains » en 1949. En effet, la traite négrière se caractérisait par deux traits absents dans les phénomènes qui y sont indûment assimilés : elle était légale (ce qui privait ses victimes de tout recours auprès des autorités) et elle était forcée du début à la fin du processus (capture, transport, vente et travail des esclaves). En l’absence de ces deux traits, c’est seulement par un abus de langage ou une déformation des faits que, depuis plus d'un siècle, l’on peut soutenir l’analogie. Les auteurs examinent en conclusion comment, pourquoi et avec quelles conséquences certains contemporains la soutiennent néanmoins.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.017 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".