Plants, people and historic buildings: adapting the TTC Danforth carhouse and garage In Toronto through biophilic design
Bibliographic record
Abstract
Over the years, historic buildings are gradually disappearing within the cities due to poor management, neglect, abandonment, or lack of funding. Renovation of these buildings is rewarding in the end, but it is a delicate, costly, and time-consuming process. The importance of building conservation and the issues of demolition as a conventional solution for old buildings become controversial and challenging. Adaptive reuse solution is now a rising architectural approach in building conservation. This study will focus on the adaptive reuse of buildings by integrating plants based on the concept of Biophilia with consideration of climatic conditions. The emergence of biophilic architecture is rapidly growing, and its value can no longer be ignored. The project proposes to adapt the unused Danforth Garage historic transit hub in Toronto into a sustainable community hub by applying the architectural concept of growth through the densification of both human and plant inhabitants. The planning and place-making design aspects nurture the connection between humans and nature in architectural designs.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".