Bibliographic record
Abstract
La loi ecarte tout soupcon de conflit d'interet en prescrivant au juge de s'abstenir a priori de juger dans les cas ou celui-ci pourrait avoir un interet personnel, une affection ou une inimitie a l'egard des personnes ou de l'objet du proces selon le canon 1448. Si les officiers qui doivent s'abstenir pour les motifs stipules dans le canon 1448 ne le font pas, la partie peut les recuser. Si la recusation est admise, d'autres personnes non suspectes sont nommees mais le tribunal et le degre de juridiction restent les memes. Les actes accomplis par le juge avant qu'il ne soit recuse sont valides. Ceux qui ont ete realises apres la requete en recusation mais avant son acceptation sont rescindables si la partie en fait la demande dans les dix jours qui suivent l'acceptation de la recusation. Les actes accomplis par le juge entre la proposition et l'admission de la recusation sont valides.
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 | 0.026 | 0.092 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.013 | 0.052 |
| Scholarly communication | 0.016 | 0.008 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.007 | 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".