D'une Servante à l'autre. Transmission et projections, de la page au petit écran
Bibliographic record
Abstract
En 2017, la diffusion de l’adaptation en série de du roman dystopique La Servante écarlate (The Handmaid’s Tale, 1985) a permis à un large public de découvrir le nom et l’œuvre de la romancière canadienne Margaret Atwood. Or, cet ouvrage avait déjà fait l’objet d’une adaptation sur le grand écran et ce, dès 1990. Boudé par les spectateurs, peu apprécié par la critique, le film de Volker Schlöndorff a rapidement été oublié, tandis que la série de Bruce Miller continue de s’attirer les faveurs de ses nombreux commentateurs. Le présent article cherchera à comprendre cette différence d’appréciation en se demandant si le format de la série télévisée serait plus à même de cerner les thématiques et les problématiques littéraires posées par le roman de Atwood à partir du langage audiovisuel qui est le sien.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".