Two Modern Crossings in Historic Canadian Sites: Creating "Places for People"?
Bibliographic record
Abstract
One of the most challenging design problems of our time is how to achieve an appropriate aesthetic expression for a new bridge intervention in an important historic context, and also make it into an inviting public space. Mark Langridge has led the architectural and aesthetic design of many high profile bridge crossings in Canadian heritage settings over the past twenty years that attempt to achieve this balance. This paper looks at two recent completed projects in important historic places, Flora Footbridge in Ottawa and Garrison Crossing in Toronto, and describes how the designs attempt to become successful “places for people”. It includes conceptual renderings and post-completion photos, showing how people are now using the crossings through Canada’s varied seasons. In both cases it was imperative that the new structure respect and not overwhelm the character of the heritage place, yet it was also very important that it be an expression of its own time. The concept of minimal intervention is critical in this context – the heritage character-defining elements should retain visual dominance within the setting, with new interventions presenting a secondary, understated visual expression that does not diminish the original historic character, and over time, should ideally enhance it.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.022 | 0.013 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 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".