Chief Planner and Executive Director, City Planning Division
Bibliographic record
Abstract
This report encompasses the results of a comprehensive technical review and update of the Toronto Green Standard (TGS) adopted by City Council in December 2009. The TGS is a two-tier set of environmental performance measures that facilitates sustainable new development in Toronto. The revised and updated TGS reflects improvements resulting from direct experiences in applying the Green Standard to new development and the incorporation of new City guidelines, policy or regulations that came into effect since implementation began in 2010. Representatives of City Divisions and development industry stakeholders have participated in the review of each section of the TGS. Highlights of the new version of the TGS include: Improved Tier 1 performance measures to address implementation challenges. Consistency with the City-wide Zoning By-law and the City-wide Site Plan Control By-law. Incorporation of new performance measures supporting the latest City guideline documents. Expanded Tier 2 voluntary package, aligned with LEED ® Canada for New Construction and Waterfront Toronto's Mandatory Green Building Requirements. It is recommended that the proposed, updated TGS be adopted and implemented for all new development applications commencing January 1, 2014. Further reports on sustainable energy targets for new development and on the feasibility of applying a Tier 2 policy for new City-owned facilities in 2014 are recommended. The next review to the TGS will commence in 2017.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.261 | 0.139 |
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".