Bibliographic record
Abstract
Quant à ces sages qui se croient autant de petits dieux, l'amitié ne les unit presque jamais, ou, si cela arrive quelquefois, c'est une amitié toujours triste et désagréable, et qui ne s'étend qu'à un très petit nom bre de personnes.(...) Si donc ces philosophes sévè res se lient quelquefois entre eux par les noeuds mutuels d'une bienveillance réciproque, cette union peu solide ne saurait durer longtemps entre les gens toujours tristes et de mauvaise humeur... Érasme Mieulx est de ris que de larmes escripre... Le grand Dieu feist les planettes et nous faisons les platz netz.Rabelais Sans...nezquivoque.Le Philosophe inconnu LUI.-Ah! ah! vous voilà, monsieur le philosophe; et que faites-vous ici parmi ce tas de fainéants?
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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.054 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".