Bibliographic record
Abstract
Parler de scénario fictif, c'est évoquer un texte au statut « trouble ». S'il existe seul, sans sa source, s'il est sa propre source, ou encore s'il ne s'est jamais réalisé dans un film, il demeure un texte qu'on ne sait comment lire. C'est un texte de nature transitive et, pour décider de sa valeur, il faut évaluer comment s'opère le passage entre la source, événement ou fiction, et sa réalisation, un film. C'est le cas qui est développé dans cet article. Comment passer de la lecture à la « spectature »? Comment respecter les deux médias impliqués sans avoir à inventer une position neutre où tout pourrait se retrouver, s'étudier? La question est d'autant plus difficile que le transit s'opère à partir du domaine privé de la lecture vers le domaine public de la « spectature ». Les Fous de Bassan, roman d'Anne Hébert et le film d'Yves Simoneau qui porte le même titre servent d'exemples.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.068 | 0.010 |
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".