Learning from LoLo: neighbourhood sustainable development in the City of North Vancouver
Bibliographic record
Abstract
This research investigates the integration of policies, processes and priorities in planning for sustainable development. Following case-study methodology at the neighbourhood scale in the City of North Vancouver, assessment and governance frameworks are used to understand planning for sustainable development and its outcomes. The findings uncovered rigorous planning processes that prioritized form-based planning alongside a systematic pursuit of public amenities. This was complemented with policies requiring sustainability focused items. Together these contributed to a LEED-ND comparable neighbourhood which was achieved in the absence of any 3rd party neighbourhood assessment frameworks. Other findings included: a purposively opportunistic planning practice that avoided structured assessment or monitoring; a planning process and governance arrangement that relied on a shared understanding of sustainability amongst City staff; and facilitation through leadership and a supportive political regime. The research highlights the risk and opportunity associated with the political nature of governing for sustainable development without assessment frameworks and emphasizes the importance of leadership, policy frameworks, and corporate culture.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".