Editor in Chief Commentary: Water - Recognizing the Indigenous Perspective
Bibliographic record
Abstract
Indigenous peoples have, since time immemorial, understood that water is central to the cycles of life. Yet, as many of the articles in this special issue on water in Indigenous communities point out, Indigenous peoples have real problems accessing safe water. Why? Indigenous peoples have always cared for the water and followed practices that, depending on their geography, varied by season to protect and conserve fresh safe water. They have celebrated it as witnessed by the ceremony and language used. Colonial practices have disrupted the care and knowledge passing in Indigenous communities. Cost-effective technology exists to deliver safe water to Indigenous communities. The issue is that utilization of technology and environmental sustainability rest on the social determinants of safe water. From a policy perspective, this means we have to look outside of Western technological solutions and come to listen to the other ‘story’ - the one that emanates from Indigenous Traditional Knowledge.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.042 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.036 | 0.049 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".