Exploring Holistic Urban Sustainability from a Transformative Learning Perspective: The Southwood Precinct Project
Bibliographic record
Abstract
Despite the increasing number of recommendations for urban sustainability, there remains a need for greater understanding of how communities become more sustainable given the predominant existing preference for sprawl and resistance towards urban alternatives. Focusing on the proposed development initiative for the Southwood Precinct in Winnipeg Manitoba, this research examined the reasons for opposition to, or concern with, existing recommendations for EcoCities, Healthy Cities, and Age-Friendly Cities. The study was conducted by interviewing local residents and stakeholders, using an image-based info-sheet as a communications tool to increase openness to alternative (more sustainable) urban development approaches. The study revealed that opposition and concern can stem from values that are more complex than mere preference for sprawl or resistance to change. Overall, participant reflections showed that the image-based info-sheet along with discussion (through semi-structured interviews) was conducive to expanding positive perceptions of sustainable development in local neighbourhoods.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".