Chrétien de Troyes sur le Web: présentation, analyse et interprétation des manuscrits d’<i>Yvain ou le Chevalier au Lion</i> [2000, rptd. 2008]
Bibliographic record
Abstract
On the web site of the Laboratoire de Français Ancien at the University of Ottawa we intend to offer free access to a query and research tool, both powerful and new, for use on Chrétien de Troyes’ masterpiece the Chevalier au Lion, Chrétien being the most famous writer of medieval French romances. We are preparing a presentation of all the Chevalier au Lion manuscripts, with analysis and interpretation, that will constitute an indispensable collection of documents for future critical work — both for critical editions in general and critical editions of this particular work. Our aim is to show the educated public the text itself, accompanied by a series of indices, a study of the language and a complete lexicon of each manuscript copy. When the work is complete, the reader will be able to see images of the manuscript folios, to decipher the text by means of a first, "archeological" transcription (the text as is), and to understand it, through a second, critical transcription of the emended manuscripts. The series of indices will allow easy, automatic look-up of the text, and various types of query (phonetic, morphological, syntactic, lexical, semantic, literary, cultural, etc.). Morphosyntactic study will give a systematic framework for determining the meaning and import of textual forms and expressions encountered in reading. The lexicon will provide precise definitions for all the lexical words of each manuscript.
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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.037 | 0.009 |
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".