L’exploitation de sources hagiographiques en histoire sociale du haut Moyen Âge
Bibliographic record
Abstract
Il s’agit de réfléchir sur la manière dont le médiéviste peut exploiter certains textes d’hagiographie narrative comme sources de l’histoire sociale du Moyen Âge. Pour ce faire, nous reviendrons sur l’histoire des relations que les médiévistes ont entretenu avec l’hagiographie narrative au cours du XX e siècle. Ensuite, il convient de prendre en compte l’évolution méthodologique profonde qu’a connu hagiologie : si l’hagiographie reflète son époque, c’est de façon médiatisée par l’hagiographe, ce qui suppose de tenir compte de la façon dont son projet et sa culture informent l’oeuvre. Une démarche critique s’impose pour transformer le récit hagiographique en source nous renseignant sur le fonctionnement de la société dont elle est issue : nous en donnons quelques exemples à partir de la Vita Geraldi d’Odon de Cluny ( BHL 3411) et du Liber miraculorum sancte Fidis de Conques ( BHL 2943-2962).
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.008 | 0.015 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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; 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".