Bibliographic record
Abstract
Cet essai explore les relations qui se tissent entre la maladie physique et le désordre temporel dans le dernier film d’Andrey Tarkovsky, Le Sacrifice. Les afflictions, qui incluent les syncopes, les saignements de nez et les crises hystériques sont nombreuses dans Le Sacrifice et la plupart des recherches sur Tarkovsky traitent ces épisodes comme les symptômes d’une faiblesse physique, émotionnelle et spirituelle du personnage. L’examen attentif permet toutefois de montrer comment ces symptômes inhabituels peuvent être lus comme les épisodes d’une profonde et paradoxale « maladie du temps ». Il est suggéré que la maladie dans Le Sacrifice indique une disjonction radicale entre le temps séculier et spirituel que le film cherche à réparer. En s’inspirant des travaux théoriques de Tarkovsky et en étudiant attentivement les articulations cinématographiques, cet essai montre comment Le Sacrifice dépeint la maladie du temps tout en nous donnant le remède de sa restauration par le geste du don.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".