Bibliographic record
Abstract
La conférence plénière (en anglais) du professeur Alex Fancy prononcée le 2 avril 2013 à l'université de Guelph dans le cadre du deuxième colloque international en didactique des langues secondes. Foundateur et directeur de la compagnie de théâtre Tintamarre, Alex Fancy propose 15 leçons apprises par le biais d’une méthode singulière: la création annuelle d’une pièce de théâtre bilingue avec un groupe d’étudiant(e)s de l’université Mount Allison au Nouveau Brunswick, Canada. Professor Alex Fancy's keynote address at the Second International Conference on Second-language Pedagogy at the University of Guelph. Founder and director of the Tintamarre theatre company, Alex Fancy shares 15 lessons learned by way of a unique method: the creation of an annual play with a group of students from Mount Allison University in New Brunswick, Canada.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".