Reshaping Canada's second home: how social collaboration can be promoted by the adaptive re-use of an old community rink
Bibliographic record
Abstract
Given Canada’s northern climate, winter sports and particularly skating, \nhave assumed tremendous cultural importance, yet nearly half of the \nskating facilities in the country are approaching or have reached their life \nexpectancy. This owes to the interrelated challenges of the expense of \nmaintaining rinks and arenas, and the fact that they are only used during a \nfew months of the year. This thesis takes the position that the adaptive reuse \nof an existing arena to host multiple programs is the most culturally and \nenvironmentally sustainable response to serve the surrounding community. \nFounded in Guelph, Ontario, in 1871, Exhibition Park is a well-used public park \noffering an assortment of recreational amenities and community-inclusive \nprograms. However, the latent potential of the park’s dated arena merits \nexploration. This thesis proposes the adaptive reuse of Exhibition Park Rink \ninto a dynamic year-round cultural centre that provides an improved skating \nexperience, alongside complementary community programs.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.035 | 0.015 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 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".