“Is it Safe?” Risk Perception and Drinking Water in a Vulnerable Population
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
Access to safe drinking water is a pressing social policy issue globally. Despite the milestones reached in this area of Canadian public health, marginalized and vulnerable populations, including those founded on racialized identity, such as First Nations, continue to be plagued by accessibility issues. This work sheds new perspective on the issue, arguing for a research and policy focus that is inclusive of risk perception. A model of risk perception of drinking water is developed and tested for First Nations on reserve in Canada using the 2001 Aboriginal Peoples Survey. It is shown that the analytical use of racialized identity advances understanding of risk perception and the environment (water). Moreover, a large degree of heterogeneity within the First Nation population across a number of social determinants of risk perception illustrates the shortcomings of framing the issue in a simplistic manner (First Nation population versus general population). Implications for risk research, including risk communication & management, and policy are provided.
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.
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 | 0.002 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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