Intangible Cultural Heritage in Local Shopping Streets: Toronto's West Queen West
Bibliographic record
Abstract
This paper utilizes Toronto's West Queen West shopping strip as a case study to uncover the importance of a seemingly mundane area to the local community and why local shopping streets should be considered grounds for intangible cultural heritage production. Building upon previous research done on intangible cultural heritage of local shopping streets, this paper uses personal interviews, observations, and data collection to analyze three ways in which local shopping streets shape local intangible cultural heritage: 1) aesthetics, 2) collective memory, and 3) the urban village model. This paper suggests the three proposed ways exclude the necessary element of transmission of intangible culture; thus, the element of transmission through the concept of "safeguarding, without freezing" should be included as the fourth way local shopping streets develop and shape intangible cultural heritage. The combination of these four elements not only secure local shopping streets as producers of intangible cultural heritage but also serves as criteria to determine whether a local shopping street is one that requires protection.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".