Bibliographic record
Abstract
This thesis argues that an evolving understanding of the concept of livability was integral to the historic development of traffic calming and mini-parks in Vancouver’s West End. Traffic calming was pioneered in the early 1970s by progressive planners who wanted to improve livability in the newly densified West End by getting rid of unwelcome traffic and creating new park space and pedestrian amenities to combat resident feelings of alienation. In the late 1970s and early 1980s, traffic diversion also became a key policy in a civic drive to remove street prostitution from the West End, a struggle that invoked discourses of ‘livability’ which were used to justify exclusion of socially undesirable people from valued space on the streets in this downtown neighbourhood. Although I conclude that traffic calming is a means to create a more walkable, green and sustainable city, I also find that it contributed to heightened social divisions in the neighbourhood and across the city.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.032 | 0.012 |
| Scholarly communication | 0.009 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".