Informing Water Use Planning with Consumer Preferences: A Case Study in Kelowna, B.C.
Bibliographic record
Abstract
Increased residential water use and climate change threaten fresh water supplies, especially for communities located in dryer regions such as Kelowna, B.C, Canada. Outdoor water use is an excellent target for water conservation, as it accounts for a major portion of residential water use. This study employed a choice experiment to examine detached homeowners’ preferences and intended behaviour for domestic lawns in Kelowna. To account for context specific choices, current lawn features (i.e. the status quo) were individualized in the survey and resulting model. Findings illustrate that the proportion of turf around the home is the strongest factor driving residents’ lawn choices. Also, residents with higher proportions of turf are more interested in water conserving landscaping retrofits and, therefore, make priority targets for water conservation strategies. These residents are also most receptive to a reduction of lawn cover, constituting significant water savings. This knowledge can help planners make more informed decisions about water use planning.
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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".