Bibliographic record
Abstract
Cet article s’intéresse aux Histoires de Grégoire de Tours et vise à démontrer que l’auteur s’adressait principalement aux futurs rois Théodebert II et Thierry II afin de les exhorter à ne pas replonger la Gaule dans la guerre civile. Pour ce faire, il est d’abord essentiel de déterminer le moment de la rédaction des Histoires et les principaux destinataires ciblés par l’auteur. C’est pourquoi les deux premières sections sont consacrées à soutenir l’hypothèse d’une rédaction tardive et à identifier les fils de Childebert II comme étant les rois les plus directement interpelés. Finalement, la dernière section propose une discussion de la préface du cinquième livre des Histoires , l’un des chapitres les plus importants de l’ensemble de l’œuvre, pour illustrer la rhétorique, inspirée de la tradition de l’Antiquité tardive, utilisée par l’auteur dans l’ensemble de son œuvre.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.013 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".