The Agency of Making and Architecture Education: Design-Build Curriculum in a New School of Architecture
Bibliographic record
Abstract
Developing a curriculum for Canada’s newest school of architecture in forty years created the opportunity for a commitment to new pedagogy that would address changes and needs in the profession, particularly in the Northern context. The tri-cultural mandate of the school (First Nations, Francophone, Anglophone), and the desire to create a complete design-build curriculum aligned with the community’s commitment for change and the location of the school in former historic buildings downtown. The design-build curriculum means that in each studio year the cohort will design and construct at full scale a project relevant to the context of the school such as the ice fishing huts completed this past year. Optional design/build workshops in the summer in Europe allowed for additional experimentation of construction methods in other specific northern contexts. This paper outlines the larger and specific contexts for the design of the design-build curriculum, the processes of the first year of implementation, the agency of making both for the student and instructors and concludes with a discussion of the trajectory of design-build in the school.
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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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.005 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".