Regional Approachesto Drinking Water Management: Implications for Rural NewfoundlandandLabrador
Bibliographic record
Abstract
Though water appears abundantly available the world over, its access, availability, quality and sustainability cannot be assured when its management is deficient. There are serious challenges with drinking water management in rural Canada in aspects such as high cost of building and operating treatment plants, maintenance of distribution infrastructure, inadequate sourcecwater protection, and the need for greater capacity building, water conservation, and governance improvements These challenges are potential threats to the future sustainable supply of good quality drinking water to these rural communities and their residents. Weak governance structures and weak capacity in complying with drinking water regulations in many rural areas have implications for drinking water security across Canada. Many solutions have been suggested, with a move towards regionalism gaining grounds in recent years. Building on previous work, this research seeks to unearth areas of potential regionalist solutions in drinking water management and governance. The research therefore seeks to ascertain aspects of the drinking water systems that can be delivered regionally; scale of regionalism that can be applied; how unique needs, geographical proximity or other criteria can influence regionalism among others and the benefits that can be derived from adopting regionalist approaches. Secondary sources such as journal articles, books, government papers, media publications, case studies and internet search will be used to provide data to be analyzed through NVivo. The review is useful in providing important inputs to interested actors in rural drinking water to inform policy decisions on water governance.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".