Certification de la compétence en langue seconde : le cours multimédia autodidacte de préparation au test de certification de l’Université d’Ottawa
Bibliographic record
Abstract
L’Université d’Ottawa a inauguré un programme de certification en langue seconde (français ou anglais) visant à permettre aux étudiants ayant un bon niveau de compétence de le faire reconnaître officiellement. Le Certificat de compétence en langue seconde sanctionne un niveau de bilinguisme avancé dans les quatre compétences, selon un système qui correspond aux exigences de bilinguisme de la Fonction publique canadienne. Un cours en partie autodidacte sur CD-ROM a été mis sur pied pour aider les candidats à la certification à se préparer efficacement au test qui leur délivrera ce certificat. Le présent article retrace la genèse du cours, depuis sa version papier-crayon jusqu’au produit fini sur CD-ROM. On détaille les étapes de développement, depuis l’élaboration de la structure hybride du cours jusqu’à la réalisation d’un cours multimédia essentiellement autodidacte (75 % en auto enseignement sur CD-ROM et 25 % avec un assistant).
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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 | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.005 |
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".