Moving more with less: integrated transportation demand management at the University of British Columbia
Bibliographic record
Abstract
The University of British Columbia (UBC) is in a geographically isolated area away from the downtown core of Vancouver. With an average growth rate of 2 per cent per year and an aggressive neighbourhood development plan, this has encouraged UBC to take a proactive approach in developing strategies to pursue sustainable transportation targets aimed at reducing single occupancy vehicle traffic, while increasing transit ridership and other alternative mode choices To this end, in partnership with the Greater Vancouver Regional District, an official community plan was developed in 1997, with the intent to help guide all future campus growth and development in accordance with the Greater Vancouver Regional District (GVRD)s Livable Region Strategic Plan (LRSP). The LRSP is the GVRD's regional growth strategy aimed at maintaining regional livability and protection of environment in the face of anticipated growth. All levels of government use the LRSP as the framework for making regional land use and transportation decisions. (a) For the covering entry of this conference, please see ITRD abstract no. E216058.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".