Bibliographic record
Abstract
Marguerite Duras's aim was to transcend the limitations of both literature and cinema by creating what M. Borgomano has called an écriture filmique. The most innovative and enduring of Duras's techniques in the cinema is desynchronisation and, in particular, her use of the voix off. She employed it in several of her films such as India Song, Son nom de Venise dans Calcutta desert, Césarée and Le Navire Night. Perhaps the most fundamental impulse which underscores Duras's writing and her films is precisely the desire to overcome divisions and oppositions. Through her reading of the texts, she lends her voice to the protagonists' stories or even to the protagonists themselves. Aurélia Steiner (Melbourne) and its sequel Aurélia Steiner (Vancouver), both made in 1979, trace a young Jewish woman's search for her identity and her origins, as she attempts to reconnect with her parents who died in a concentration camp.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.152 | 0.086 |
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".