Influences on the water testing behaviors of private well owners
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
Many private wells in the United States and Canada already are contaminated, or are at risk of contamination. Regular testing for pathogenic bacteria is one of the most concrete measures well owners can use to determine whether or not their drinking water quality is safe. This study explored the factors and causal relationships that influence well owner water quality testing behavior. In-depth, semi-structured interviews were used to evaluate the stewardship behavior of 22 well owners in Ontario, Canada. Causal networks were created for each interviewee. These were then aggregated to determine key factors and causal relationships. The research revealed that motivations for regular testing include peace of mind and reassurance. Barriers include complacency, inconvenience, and lack of a perceived problem. Knowledge and better information by themselves were found to provide a weak basis for changing behavior. Implications of this research for promoting water testing behavior are discussed.
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 | 0.001 | 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 | 0.000 | 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