Au-delà de la reverdie : l’oiseau amant et poète dans la lyrique du Moyen Âge tardif
Bibliographic record
Abstract
J’entray pour moy deporterPleins d’amoureuse maladie,Et pour oir la melodieDes oisillons qui ens estoient,Qui si très doucement chantoientQue bouche ne le porroit dire :N’onqs home vivans n’ot tant d’ireQue s’il peust leur chant oïrQu’il ne s’en deust resjoir,Tant avoit en eulx de deliz.Et dessus une fleur de lisLe doulz rossignoles estoit,Qui renvoisiement chantoit,Et s’efforçoit si de chanter,Que pardessus tout le chanterDes autres oisillons l’oÿ ;Dont mes cuers moult se resjoy.Or quant j’e...
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".