Les super-pouvoirs du doublage français de "Luke Cage "ou l’art de desservir la communauté afro-américaine
Bibliographic record
Abstract
Troisième série de Marvel diffusée sur Netflix, "Luke Cage" nous offre un superhéros noir à la force surhumaine dont la peau est pare-balles. Ancrée dans un cadre socio-culturel bien distinct, la série évoque le vécu des Afro-américains dans une société contemporaine clivée. Si la tâche du traducteur est de relâcher "the bonds of belonging" (Pym 145) du texte filmique on peut se demander ce qui arrive à la variété d'anglais parlée par les personnages de la série (l'anglais afro-américain) et aux références culturelles lorsque le produit entreprend son voyage vers la France. Nous verrons que la version française laisse traduit tout le malaise du studio de doublage face à un produit et une production culturels qu’elle ne semble pas complètement saisir.
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 | 0.001 | 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 | 0.007 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".