Richard Corradini, Max Diesenberger et Meta Niederkorn-Bruck (éd.), Zwischen Niederschrift und Wiederschrift. Hagiographie und Historiographie im Spannungsfeld von Kompendienüberlieferung und Editionstechnik
Bibliographic record
Abstract
Ce volume rassemble 22 contributions, la plupart présentées lors de deux ateliers réunis à Vienne en 2003 et 2004. Les auteurs se sont intéressés au caractère plastique des textes produits au cours du haut Moyen Âge. Sans méconnaître l’intérêt des entreprises d’édition, modernes et contemporaines, il faut en effet constater que celles-ci ont eu tendance à figer les textes à un moment précis de leur transmission manuscrite. Comme le rappellent R. Corradini et M. Diesenberger dans le propos lim...
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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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; 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".