Bibliographic record
Abstract
The students of PLAN 587B Introductory Urban Design Studio, under the instruction of Dr. Maged Senbel, worked in collaboration with developer Wayne Allen to create 3 sustainable designs for the redevelopment of an amalgamated site in the Big Bend area of Burnaby BC adjacent to Willard Park. Concurrently, through a research-based directed study project Jeca Glor-Bell conducted research on green design principles and technologies to aid the design students in achieving a high level of sustainability in design. This book brings together the research on green design principles and application of green technologies with the final designs. The purpose of this effort is to offer a resource for the developer, other urban planning students as well as interested practitioners seeking to apply green design principles and technologies to future sites. The book begins by explaining the green principles and features which have informed and influenced these designs and then presents the three completed site designs. The first site design, Fenwick Village, was created by Jennifer Fix, Bronwyn Jarvis and Chani Joseph. The second design, Willard’s Eco-Village, was created by Brian Gregg, Lang Lang and Sawngjai Manityakul, and finally the Sprout: The City is the Country Design which was created by Kaitlin Kazmierowski, Jeff Deby and Andrew Merrill. Each of these designs sought to combine three elements: the client’s vision, ecological development principles, and green design features. Finally the book includes several appendices with greater detail on the application of green energy technologies, including calculations for the capacity of different green technologies.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.307 | 0.088 |
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".