Achieving benefits through greywater treatment and reuse in northern buildings and communities
Bibliographic record
Abstract
Greywater is waste water from activities like showering, bathing, or laundry. It is less contaminated than blackwater, which is waste water from toilets, urinals, kitchen sinks, and dishwashers. In many regions of the world where water is not plentiful, people re-use greywater for things like toilet flushing, irrigation, and cleaning. Standards in various plumbing and building codes ensure the safety of those using treated greywater for various purposes. Nunavut does not have a shortage of water, but it is very costly. Delivering water by truck to individual homes and businesses is expensive. As a result, Nunavut uses less water per person than in other parts of Canada. This project studied the potential to treat and re-use greywater in Northern communities. A demonstration of a new greywater treatment system designed for the North was began in May 2018 in a Triplex residence of the Canadian High Arctic Research Station in Cambridge Bay. Nunavut Arctic College students will engage with community residents and business owners to hear their perspectives on greywater treatment and re-use. To prepare for this demonstration, a Montréal college tested the treatment system for six months. It was used to treat shower and laundry water from the sports complex. The system performed reliably and was able to meet all of the requirements of a widely adopted standard for greywater.
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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".