Bibliographic record
Abstract
« [Là] où Marie Christine Bernard excelle, c’est dans la sobriété, le non-dit qui contraint le lecteur à combler le silence avec ses propres émotions, avec la douleur de ses cicatrices, avec les souvenirs secrets des blessures de tous ses âges accumulés. » — Christiane Laforge L’auteure enseigne les Lettres au collège d’Alma, au Québec. Plusieurs fois primés, ses livres sont connus au Canada anglais, aux Etats-Unis et en Europe. Elle écrit de la poésie, du théâtre, des chansons et des nouvelles en plus de ses romans grand public et jeunesse. Mademoiselle Personne, paru en 2008, lui a valu le prix France-Québec. Son dernier roman très attendu, Autoportrait au revolver, paru en septembre dernier, reçoit déjà un accueil enthousiaste.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.010 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.035 | 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".