The place of complete streets: aligning urban street design practices with pedestrian and cycling priorities
Bibliographic record
Abstract
Many Canadian cities are collectively considering pedestrians, cyclists, public transit, automobiles, and the movement of goods through complete streets, aspiring to enable all people, regardless of age, income, abilities, or lifestyle choices to use streets. Canadian municipal transportation practices are largely based on conventional approaches, where the movement of motor vehicles is a priority. The purpose of this practicum is to identify ways that selected precedents from Canadian and European municipal practices, may inform Canadian municipalities as they seek to incorporate the needs of pedestrians and cyclists – encompassing city planning, transportation engineering, architecture, and urban design considerations. The results of this research exemplify the interdisciplinary involvement required for creating streets as both links and places. Recommendations for Canadian municipalities include aligning municipal design practices with complete streets practices and incorporating interdisciplinary inputs in street design. Ensuring an interdisciplinary university education is recommended for street design professions.
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.020 | 0.010 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".