Cultural and architectural revitalization: a reinterpretation of Chinese tradition
Bibliographic record
Abstract
Toronto’s downtown Chinatown was once the central core of Asian culture and business in Canada but now has been superceded by Markham’s opening of Pacific Mall and ongoing development of suburban neighbourhoods. As a result, Toronto’s Chinatown Centre, a mall and landmark in the heart of Chinatown, has significantly suffered as markets, shops and restaurants have either closed or are now deprived of business with no sight of recovery. Through a reinterpretation of core principles of the traditional Chinese siheyuan, this thesis explores how architecture can become a catalyst in the revitalization of Chinatown Centre, retaining inherent qualities of Chinese culture through a narrative which could be understood transgenerationally and transculturally. As geopolitical, economical and technological implications forced the outsprawl of Chinese communities to migrate out of downtown, the same factors could play a significant role in bringing the Chinese communities back. The project becomes a symbol and a physical reminder of Toronto’s resilience while bringing awareness to the serious issue of the declining Chinatown Centre.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.012 | 0.042 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".