Bibliographic record
Abstract
Cet article s’attache à définir comment l’arrière-plan historique des Mystères de Fidelma, ce Moyen Âge qui est pour Peter Tremayne « l’âge des lumières » pour l’Irlande, tant au niveau de la littérature, de la culture, des arts que du système juridique mêle le plaisir du dépaysement à celui du mystère dans une quête indicielle de vérité. Après avoir montré comment les trente-cinq tomes de la saga Fidelma, ces romans policiers historiques traduits dans le monde entier, font vendre une vision érudite et cartographiée du Moyen Âge irlandais à travers des exemples juridiques de crimes jugés à l’aune des lois de l’ancien Droit celtique, les lois des Brehons (en irlandais : Dlíthe na mBreithiúnaan), nous nous interrogerons sur l’attrait topographique et linguistique d’un lectorat international pour le VIIe siècle irlandais.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".