Is Suicide a Water Justice Issue? Investigating Long-Term Drinking Water Advisories and Suicide in First Nations in Canada
Bibliographic record
Abstract
First Nations experience disproportionate rates of suicide when compared to the general population. Various risk factors are identified to increase understanding of the prevalence of suicide among First Nations, but environmental dimensions of suicide are understudied. This study asks whether water insecurity, as reflected by long-term drinking water advisories (LT-DWA), has any bearing on the distribution of suicide in First Nations across Canada, and specifically in Ontario. To assess this, we established the proportion of First Nations with LT-DWAs in Canada and in Ontario that have had suicides occur between 2011 and 2016 through a review of media archives. This proportion was compared to census data on the proportion of First Nations with suicides in Canada and in Ontario between 2011 and 2016, and statistical significance of difference was determined through chi-square goodness of fit test. Overall, the findings were mixed. Nationally, there was no significantly difference of proportion of First Nations with LT-DWAs with combined (confirmed and probable) reported suicides occurring when compared to census proportions; however, at the provincial level, findings had significant differences. The authors conclude that water insecurity in First Nations, as indicated by the presence of a LT-DWA in First Nations across may be an important environmental dimension of suicide, contributing to enhanced risk for suicide in First Nations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".