Urbanizing the academy: The University of British Columbia's planning, development and sustainability story
Bibliographic record
Abstract
Universities are traditionally focused on education and research, yet in a shift toward more entrepreneurial activities, some universities are using their large physical institutions and land base for land development projects and to demonstrate sustainability initiatives. While a move to market-based activities has been criticized for straying too far from the academic mission at the core of a university, supporters point to the new revenue stream from land development as a means to contribute to the University’s academic mission. As a politically autonomous institution from neighbouring municipalities and the regional government, and with its land use and permitting authority, UBC is ambitiously undertaking major urban development projects on its land. To understand how UBC arrived at its current context, this case study focuses on the key features, figures and processes of property development, land use planning and sustainable development undertaken at the University. Using document analysis and semi-structured interviews, this practicum includes a background study and provides insights specific to UBC’s experience as well as highlights relevant lessons for other universities seeking to engage in property development and integrate sustainable development initiatives into their design and operations.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.066 | 0.013 |
| Scholarly communication | 0.016 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.011 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".