City Maker Meets City Dweller | A Conversation About Public Engagement and the Rideau Canal
Bibliographic record
Abstract
In a city where pointing the finger is not uncommon, Ottawa's top-down parliamentary decision making has led to an apparent divide between planning officials, architects, and citizens regarding proposed public projects. In addition to that, stringent policies that allow for the public to have their voices heard in the wrong way make for ineffective public consultations. With a rewritten Official Plan on its way, the resistance to change and confusing policies need addressing for a successful implementation. This thesis considers a series of design methodologies for a schematic rejuvenation of the Rideau Canal - one of Canada's most famous waterways. It attempts to develop a more holistic view on city planning and explores methods of architectural thinking and production that stray from convention. Focusing on conversation, mapping, and storytelling, this thesis looks to bridge the extensive gap that exists between city makers and city dwellers.
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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 | 0.001 |
| 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".