Verdir le diplôme d’architecture au Canada : un forum académique national, une question de transdisciplinarité.
Bibliographic record
Abstract
Afin de répondre au défi du développement durable, l’Université de Montréal prend part au projet de « Verdir le diplôme d’architecture au Canada ». Ce projet se veut à la fois un lieu d’échange d’idées, de ressources et d’expertise sur l’intégration du développement durable dans les cursus des dix institutions canadiennes d’architecture. Dans ce forum virtuel, chaque université a l’opportunité de poser des questions sur des enjeux majeurs, d’en débattre et d’y répondre. Ce processus permet des échanges riches et réflexifs autour d’idées souvent divergentes sur les modèles, les outils et les structures de la formation en architecture. L’objectif de cet article est de présenter cette expérience unique qui se déroule depuis 2002.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".