A case study on the planning process of Calgary skateboarding amenities
Bibliographic record
Abstract
Skateboarding is a global phenomenon that makes alternative use of the urban built form but is often met with opposition from the public and governing authorities. In Calgary, the skateboarding community has formed representative organizations that have collaborated with Council and Administration to address issues surrounding skateboarding. This research examines the process of the development of skateboarding amenities in Calgary and how the perspective of the sport changed from a degenerative activity to a healthy lifestyle choice. Collaborative planning and tactical urbanism provide the framework for the analysis. This research finds that the skateboarding community organizations and the City of Calgary have exercised a combination of collaborative planning and tactical urbanism to increase institutional capacity and positively change both the social and physical landscape of the city. The research concludes that communities need representation to effectively communicate with local government, formal and informal relationships between community and government strengthen process and results, and, once an objective has been identified, short-term action can provide a temporary solution during a period of planning for a long-term permanent solution.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| 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".