Departure Bay's arrival into the 21st century: A re-imagining of the Departure Bay neighbourhood commercial centre
Bibliographic record
Abstract
This major project addresses a link between the academic experience and professional practice by creating a Vision Plan for Departure Bay in Nanaimo, British Columbia. Departure Bay is often called the ‘Gem of Nanaimo’ for it’s pristine natural beauty and prime location, however for the last few decades this gem has lost its shine. The proposed vision for Departure Bay focuses on the Neighbourhood Commercial Center (NCC) to re-imagine a vision in line with today’s current planning practices. The vision plan will be used to explore the typical processes that a development permit application would go through to prepare a Development Permit. This vision plan for Departure Bay’s NCC has been created through information gained on the history, culture, and daily life in the Departure Bay neighbourhood. Using a literature review, interviews with local stakeholders, and a comparative context analysis of the City’s NCCs this project aims to create a rationale for the decisions made throughout the preparation of the Vision Plan. A key outcome of the major project is a Vision Plan, supported with a full urban design context analysis, schematic development plans, renderings, and a property cost acquisition analysis.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.023 | 0.016 |
| Scholarly communication | 0.014 | 0.005 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".