La base textuelle du <i>Dictionnaire électronique de Chrétien de Troyes</i>. Établissement et fonctionnalités
Bibliographic record
Abstract
Le Dictionnaire Électronique de Chrétien de Troyes (désormais DÉCT) constitue à la fois un lexique de cet écrivain du XII e siècle et une base textuelle qui permet de lire ou d’interroger les transcriptions de ses cinq romans (Érec, Cligès, Lancelot ou le Chevalier à la Charrette, Yvain ou le Chevalier au Lion, Perceval ou le Conte du Graal). Le DÉCT résulte de la collaboration d’un groupe de chercheurs : Pierre Kunstmann, du LFA (Laboratoire de Français Ancien, Université d’Ottawa), qui en assume la direction et rédige les articles; Hiltrud Gerner, de l’ATILF (Analyse et Traitement Automatique de la Langue Française, CNRS Nancy-Université), chargée de la présentation et de la révision des articles ainsi que de la rédaction de certaines lettres; Gilles Souvay, de l’ATILF, pour les développements informatiques; A. Stein de l’Institut für Linguistik / Romanistik, Université de Stuttgart, pour l’analyse sémantique.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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 teacher head, 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".