Bibliographic record
Abstract
Alexandre Amprimoz commence ses Changements de tons (1981) par une explication de la « parole » : celle-ci est prononcée « souvent au sein du cantique / le bourdonnement de la cascade / et l’ignorance du vent » (« Mots »). Au lieu d’exprimer ce qu’elle est, cette description situe la parole dans un espace à la fois intérieur et paysager. De fait, les images du dedans et des alentours abondent dans l’œuvre du poète et forment un trésor d’étonnantes évocations. Dans 10/11 (1979), les images du dedans sont enfouies dans des cendriers, des océans, des masques, des palais de marbre, entre autres exemples, alors que l’environnement convoque les plaines neigeuses, de belles terres, des iles, des jardins de fleurs, « des soleils en rayons » (11/p), une ville avec sa gare et son université, etc.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.456 | 0.171 |
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".