Bibliographic record
Abstract
In 2006, Brent Toderian was appointed the City of Vancouver’s Director of City Planning, succeeding celebrated Co-Directors Larry Beasley and Dr. Ann McAfee. His broad mandate involves current planning, including many projects related to the 2010 Winter Olympics, and visioning/community planning, including Vancouver’s recently-approved “EcoDensity” city-wide initiative. Since arriving, Brent has been encouraging candid dialogue around an evolving urbanism, with new opportunities around sustainability, creativity, and architectural risk -taking. Brent came to Vancouver from the City of Calgary, where as Manager of Centre City Planning + Design, he oversaw visioning, development and design in Calgary’s Downtown, Midtown and Beltline communities. Brent also created and was leading Calgary’s awardwinning Centre City Plan, which took a creative and unusually holistic approach to the future success of Centre City. Brent previously spent 4 years championing a new tone for innovative inner-city and suburban neighbourhood design and integrated communities in Calgary as its Chief Subdivision Planner. For 9 years before that, Brent was an award-winning planning and design consultant based in Ontario, working for and with many municipalities, community groups and developers from Toronto to Yellowknife. Brent had a particular emphasis on downtown and inner city planning and revitalization. A passionate advocate for creative city building, urban design and architecture, Brent speaks and writes globally on the subjects, has taught and lectured at numerous universities, and is a co-founder of the Council for Canadian Urbanism while sitting on numerous other boards and groups related to cities. Called a “sophisticated urbanist” by the Vancouver Sun, and an “urban firecracker” by the Globe and Mail, Brent practices what he calls holistic urbanism in all aspects of his work. In real life he’s an avid skier and loves anything in the outdoors (urban and natural), is passionate about all aspects of the arts, and is an avid traveler and student of cultures.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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) | 0.001 | 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 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".