Poétique de la choralité. <i>6 810 000 litres d’eau par seconde</i> de Michel Butor
Bibliographic record
Abstract
Paru en 1965, 6 810 000 litres d’eau par seconde de Michel Butor poursuit le cycle d’études américaines inauguré par Mobile : hésitant entre le roman et la poésie, autour de la description des chutes du Niagara, il met en oeuvre une poétique de la choralité. Le texte mêle aussi bien la voix de Chateaubriand et de son voyage en Amérique que celles de personnages, jeunes et vieux, solitaires ou mariés, devenus les pèlerins modernes d’un lieu touristique représenté comme l’archétype de la civilisation capitaliste. Entre stéréophonie et stéréoscopie, la choralité de 6 810 000 litres d’eau par seconde prend la forme d’un grand phrasé qui illustre à sa manière l’épopée américaine chez Butor.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.001 |
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".