Dictionnaire des citations de l'Ontario français depuis 1960 (DICLOF)
Bibliographic record
Abstract
Les Editions L'Interligne sont heureuses de lancer la deuxieme edition du Dictionnaire des citations litteraires de l'Ontario francais depuis 1960 (DICLOF). Plus qu'une simple reimpression, cette edition contient un nombre de citations d'auteurs considerablement plus eleve que la precedente version et fait appel a un eventail encore plus vaste d'ouvrages. Cette deuxieme edition du DICLOF comporte environ 3360 citations (ce qui signifie une augmentation de 1360 par rapport a la premiere edition, aujourd'hui epuisee), extraites de 760 ouvrages ecrits par quelque 230 auteures et auteurs. Les citations sont regroupees sous 1200 rubriques et sont accompagnees de leur reference, qui comporte le nom de l'auteur, la date de publication de l'?uvre correspondante et le numero de la page ou elle fut puisee. De plus, un index facilite la recherche de rubriques. Le Dictionnaire des citations litteraires de l'Ontario francais depuis 1960 est un ouvrage de reference, un outil de travail, le seul en son genre, qui donne un apercu de la richesse des createurs qui composent la communaute litteraire de l'Ontario francais, de leurs sentiments et de leurs facons de percevoir le monde.
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.014 | 0.029 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.064 | 0.019 |
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".