An Architectural Toolkit for Complex Sites: Exploring Co-Creation with Community Stakeholders
Bibliographic record
Abstract
The architectural profession is at a pivotal point in redefining its relationship with the public. This thesis seeks to develop a 'toolkit' of alternative tools and techniques intended for the use of architects to engage community stakeholders in co-creation. Relying on contribution from participants, the toolkit acts as a vessel for envisioning the future of a contested site in Ottawa, the Chaudire Islands. The widely divergent visions this site has inspired -from that of the private developer, Windmill, to that of the late Algonquin Elder, William Commanda -make clear the need for new tools for the architect. While applied here to a particular case study and Indigenous working group, the thesis aims to provide a model of public engagement for other projects of complexity in the future.
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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 | 0.012 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.014 | 0.032 |
| Scholarly communication | 0.015 | 0.015 |
| Open science | 0.003 | 0.017 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".