Bibliographic record
Abstract
A la suite d’un atelier dirigé par Lucie Hotte de l’Université d’Ottawa lors de la conférence biennale de l’ACQS (American Council for Quebec Studies) en novembre 2010, Voix plurielles vous invite à soumettre un tapuscrit sur le thème « Enjeux actuels des littératures francophones du Canada ». Votre article portera sur un aspect, une œuvre ou un-e auteur-e des littératures francophones de l’Ouest, de l’Ontario ou du Nouveau Brunswick. Rédigé en français, il sera conforme aux normes de la revue (accessible à partir du site de l’APFUCC). Veuillez soumettre votre texte à Voix plurielles avant le 31 décembre 2011, soit directement par soumission électronique à la revue, soit par courriel à Catherine Parayre (cparayre@brocku.ca). Les soumissions se feront sous Word 2003 ou en RTF. Les articles retenus paraîtront dans le numéro 9.1 (avril/mai 2012). Au plaisir de vous lire, merci.
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 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.498 | 0.423 |
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".