L’électronique à l’aide de l’éditeur : miracle ou mirage ? Bilan de quatorze années de travaux au LFA
Bibliographic record
Abstract
Cet article présente d’abord un bilan de quatorze années de travaux (1997-2011) au Laboratoire de Français Ancien (LFA) de l’Université d’Ottawa. Le site internet www.lfa.uottawa.ca en constitue la fenêtre de diffusion et est structuré en deux parties : la base « Textes de Français Ancien » et la série « Textes en Liberté ». Plusieurs travaux sont menés en collaboration avec l’ATILF (CNRS, Nancy) : la « Base de Graphies Verbales », le « Dictionnaire Électronique de Chrétien de Troyes », l’édition critique électronique des Miracles de Notre-Dame par personnages. Ce site héberge également la base bibliographique ARLIMA. Ces bases textuelles constituent un apport essentiel de l’électronique à l’éditeur. Leurs vastes possibilités de recherche permettent en effet d’interroger des corpus très étendus.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".