Evaluation of critical factors from residential adaptive reuse projects within the context of Toronto, Ontario
Bibliographic record
Abstract
Adaptive Reuse is a growing phenomenon embraced by cities as one of the low carbon strategies in their climate change agenda which shifted the focus from new construction to existing buildings. The research study is based upon cross-case analysis of four case study buildings selected from the inventory of conversion projects located within the context of Toronto. Analysis of the archived project documentations and unstructured interview with the involved architects were performed to identify key criteria and design strategies adopted for residential conversion. The key findings revealed that although the housing functions could be accomodated easily within the converted buildings; both interior and exterior aspects were demolished for residential configuration within both heritage and non-heritage adaptive reuse projects. The architects felt that such demolitions were necessitated due to lack of flexibility within its interiors; provisions for daylighting and thermal comfort; code compliances for fire and acoustic separations. Furthermore, findings from the current building regulations revealed a necessity for a separate policy tool due to lack of clarity for residential conversion within Toronto.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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".