Evaluating voluntary stormwater management initiatives in urban residential areas : making recommendations for program development in the City of Vancouver
Bibliographic record
Abstract
As riparian and aquatic areas experience continued degradation from the pressures of human development, there is an increasing realization by watershed managers that measures must be taken to restore the urban hydrological cycle. Voluntary stormwater management and water conservation practices, such as those advocated by the Engineering Services Department (ESD) in Vancouver, British Columbia, provided an opportunity for homeowners to participate in the management of their water resources. Unfortunately, due to a number of unknown factors, the stormwater pilots in this city failed to receive the widespread adoption that was required for their subsequent expansion. To inform the design of an integrated water management program that is capable of attracting a sufficient number of participants, a program evaluation framework was developed to assess the Downspout Disconnection Pilot Project, the Perforated Sump Pilot Project and the Rain Barrel Program in Vancouver, as well as the more popular Downspout Disconnection Program in Toronto, Ontario. Interviews of government staff and program participants, as well as reviews of theoretical and program literature, were used to understand the program variables that may have contributed to the different rates of program uptake observed in each city. The results of the evaluations have been used to inform the design and implementation of future stormwater management initiatives in urban residential areas, as well as to recommend specific areas of program improvement for the City of Vancouver. The specific areas of program improvement identified include: i) dedication of adequate program resources, ii) implementation of complementary policies, iii) exploitation of opportunities for interdepartmental collaboration, iv) innovative program promotion, v) facilitation of homeowner participation, and finally, vi) monitoring of program performance over time and adoption of change. Through the design and implementation of an integrated water management program, the City of Vancouver would be able to demonstrate a commitment to innovative problem mitigation and environmental leadership, while helping to limit the impacts of urban (residential) runoff on the quality of its receiving waters.
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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 | 0.029 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".