Water insecurity in Indigenous Canada: a community-based inter-disciplinary approach
Bibliographic record
Abstract
Water insecurity in Northern Indigenous communities in Canada remains a pressing problem, with multiple dimensions and health impacts. We carried out a case study of long-term water insecurity in the Southern Inuit island community of Black Tickle, Labrador, where there is no piped water and people rely on an under-funded potable water dispensing unit (PWDU) and unmonitored water sources. Our community-based multi-disciplinary project involved qualitative and quantitative methods including key informant interviews, focus groups, a census, a literature review, water testing, and an engineering site visit. In Black Tickle, water security was chronically and severely compromised and was linked to poverty, food insecurity, men's health, and mental health. We have taken a materialist approach; accordingly, later project phases involve research aimed at identifying appropriate solutions, and conducting pre-engineering and engineering work. This article reports on the first two phases of the project, through which we described the problem and identified its impacts.
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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 | 0.050 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.011 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.009 |
| 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".