Bibliographic record
Abstract
Parmi les manuscrits d’André Chénier qui ne virent le jour qu’en 1901, soit plus d’un siècle après sa mort, il y a un groupe de notes portant sur la littérature chinoise. Dans ces notes, dont la composition remonte aux années 1780, Chénier s’intéresse surtout aux poèmes tirés du Classique de la poésie, le premier recueil de poèmes chinois, qu’on date du vie ou viie siècle avant notre ère, et il en loue constamment la beauté avec enthousiasme. Quelles beautés Chénier a-t-il pu trouver dans ces poèmes, qu’il ne peut entrevoir que par une traduction très approximative, et parfois même fautive, du P. Cibot ? Cette étude tâche d’examiner la traduction du Jésuite par rapport aux textes chinois, d’une part, l’esthétique de Chénier qui a fait de lui, avec les Jésuites alors tombés en disgrâce, un des premiers admirateurs de la littérature chinoise, d’autre part.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.014 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".