Analysis of indicators of sustainability in a residential development, case study, uptown core and Iroquois Ridge communities, town of Oakville, Ontario
Bibliographic record
Abstract
This thesis evaluates sustainable community planning and design indicators as applied to conventional and alternative residential developments. Two developments similar in size, location and land use patterns were the sources of the data. The conventional development represents a design as defined under current Ontario municipal development standards. The second community challenges the existing standards and introduces a new set of alternative design criteria. Research has been ongoing for some time to develop appropriate indicators to evaluate the physical design of communities. However, only recently have these indicators been applied to specific developments. The main purpose of this study is to critically assess the effectiveness of sustainability indicators relating to economics, environmental responsiveness and sense of community. The secondary goal is to compare and contrast the developments themselves in relation to the indicators. The results of the indicator analysis revealed that not all indicators are relevant and most lack readily available data to provide a suitable measurement. Comparison of the communities using the sustainability indicators resulted in minimal differences between the conventional and alternative development, as they might relate to sustainability. Further elaboration and implications of these results are discussed as well as suggested directions for future study.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".