\nTesting Domestic Rainwater Harvesting as a Measure to Improve Drinking Water Access in a Remote Water-Insecure Community: A Case Study of Black Tickle – Domino, Labrador
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
This report presents findings from a study that investigated domestic rainwater harvesting [DRWH] as a measure to improve water-access in a remote water-insecure Indigenous community, Black Tickle – Domino, on the southern coast of Labrador. Water security refers to \nthe capacity of a population to safeguard sustainable access to adequate qualities of acceptable quality water for sustaining livelihoods, human well-being, and socio-economic development (UN Water, 2014). DRWH, or harvesting rainwater for general purpose or drinking water, has been promoted by previous researchers as way to improve water security in areas with restricted \naccess, especially in Africa (Helmreich & Horn, 2009).
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.001 | 0.006 |
| 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