Preserving Canadian Music Culture: The Case of the Silver Dollar Room and the Intangible Cultural Heritage Management of Urban Spaces of Culture
Bibliographic record
Abstract
On January 13, 2015, one of Toronto, Canada’s, iconic live music venues, the Silver Dollar Room, officially received cultural heritage designation pursuant to the City of Toronto By-law 57-2015 under Part IV, Section 29 of theOntario Heritage Act(“OHA”). What is significant about this designation, is that it was awarded, not on the basis of its physical or tangible heritage attributes but, instead, on the intangible cultural heritage value embodied within the space. Receiving cultural heritage designation is important for the future of the Silver Dollar Room as it has effectively led to the end of plans for its demolition and redevelopment that have been on the table since June 2013. By subjecting the redevelopment approval process to the greater scrutiny required due to cultural heritage designation, the interests of private developers have been better balanced with the artistic and cultural value of the Silver Dollar Room and the associated interests of the live music community culture linked to the space. This paper will examine these issues through the specific example of Toronto, but the implications of this study are applicable to the many rapidly developing cities around the world.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.049 | 0.019 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".