Redefining Northlands: How natural systems can inform low impact development in Edmonton, Alberta
Bibliographic record
Abstract
The Northlands Grounds is a 64 hectare site in north-central Edmonton, Alberta. The site is composed of infrastructure supporting three main attractions: The Northlands Racetrack, the Edmonton Expo Centre, and the Northlands Coliseum. The site drew roughly 3 million annual visitors until the primary on-site attractions were transitioned to Edmonton’s downtown entertainment district in 2016. The resulting reduction in visitor traffic to the site has economic projections anticipating Northlands’ operating costs outweighing their annual generated income (Northlands, 2016). This has pushed city administration and the Northlands organization to reinvent its presence in the Edmonton, thereby avoiding the potential impacts of a vacant or derelict site in the future. This project will explore how landscape systems can be designed with low impact development (LID) methods and act as a framework for future development on the Northlands Grounds, to better serve its surrounding communities, and city of Edmonton as a whole.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.003 |
| 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".