Source Water Protection in Traditional Haudenosaunee Nations: Report on SFAA/EPA Environmental Anthropology Fellowship
Bibliographic record
Abstract
This article describes a source water protection project carried out under a fellowship funded through the SfAA/EPA Cooperative Agreement in Environmental Anthropology. The fellowship, entitled "Community Dynamics of Source Water Protection," was sponsored by the EPA's Office of Ground Water and Drinking Water (OGWDW), and was designed to provide technical assistance to American Indian Nations engaged in drinking water protection efforts. Through a collaboration with the Haudenosaunee Environmental Task Force, a regional organization with delegates from Haudenosaunee (Iroquois) Nations in New York and Canada, I worked with the Tuscarora Nation in western New York to help them develop a source water protection education booklet for their community. I also prepared a guide to source water protection resources on the internet for use by HETF members and Nation environmental staff. Both documents are designed specifically to meet the needs of traditional Haudenosaunee Nations, based on my understanding of their current circumstances and environmental protection goals.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".