WATER CONSERVATION: OBSERVATIONS FROM A HIGHER EDUCATION FACILITY MANAGEMENT PERSPECTIVE
Bibliographic record
Abstract
ABSTRACT Sustainable or green building practices have been adopted by most higher education institutions for their new campus buildings, major renovations and daily operations. This paper provides a synthesis of opinions and existing practices related to water conservation in institutional green buildings of member institutions of APPA (formerly the Association of Physical Plant Administrators). A specific focus regarding waterless urinals and their operation was attempted. A web-based survey and follow-up one-to-one interviews were utilized to extract information and data from these industry professionals. The survey evaluated the institution's use of policy related to sustainable building practices and focused on their approaches to water conservation. Regional preferences are provided and barriers to some water conservation practices and approaches have been identified. Operational challenges are evident, particularly as they relate to waterless urinals. It is clear that higher education institutions are engaging in water conservation practices across Canada and the United States. This work contributes to a foundation for future research and analysis related to best-management practices for water conservation in the higher education sector.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".