La représentation de l’irreprésentable : l’image cinématographique dans Neige noire de Hubert Aquin
Bibliographic record
Abstract
Neige noire reprend de façon systématique deux des grands thèmes classiques de la théorie du cinéma et de la filmologie : d'une part, la nature du mélange réalité / fictionnalité qui sous-tend tout véhicule filmique et, d'autre part, les problèmes épistémologiques qui proviennent de la représentation de la temporalité au sein de récits cinématographiques. Ce sont ces deux données qui seront privilégiées au cours de cette étude. Il s'agira non seulement d'interroger le discours descriptif qui veille à l'actualisation scripturale de l'image cinématographique, à sa transformation en obje-ttexte iconique, mais notamment de dégager du texte de Hubert Aquin une certaine perspective sur les rapports entre la narrativité etl'iconicité.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".