The provision of drinking water in First Nations communities and Ontario municipalities: Insight into the emergence of water sharing arrangements
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Some communities in Ontario procure potable water through water sharing arrangements (WSAs) with other neighbouring communities. This paper explores factors influencing First Nation and municipal participation in WSAs in Ontario. Specifically, we assess whether First Nations communities – many of which suffer persistently poor drinking water conditions – are less likely to be engaged in WSAs than municipalities. We assess this question by applying regression analyses to a unique data set characterizing 419 Ontario communities: 118 First Nations communities and 301 municipalities. Compared to Ontario municipalities, First Nations in Ontario have a lower rate of participation in WSAs. Our regression analyses suggest that community likelihood of WSA participation is strongly associated with factors like geography, regional wealth, and proximity to neighbouring communities with water supply.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it