Analyse statistique des évangiles synoptiques : une étude de la paternité des textes par l’analyse des correspondances du taxi
Bibliographic record
Abstract
La généalogie des textes des évangiles synoptiques reste un sujet d’actualité. Différentes hypothèses existent quant à l’explication des similitudes ou des reprises de textes entiers d’un évangile à l’autre, dans les trois évangiles selon Matthieu, Marc et Luc. Une équipe de chercheurs japonais a réussi à identifier tous les segments communs entre les différents auteurs des évangiles de Marc, Luc et Matthieu et a construit un tableau de contingence qui décrit ces similitudes. Le tableau de contingence obtenu par le calcul des similarités dans les textes des évangiles synoptiques a été soumis à l’analyse des correspondances du taxi (ACT). L’ACT nous a permis d’obtenir des résultats interprétables et stables permettant de déduire une variante de l’hypothèse des deux évangiles.
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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 | 0.005 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".