Bibliographic record
Abstract
The Pima Indians of Arizona offer one of the clearest examples of the connections between settler-colonial environmental engineering and health.The community suffers from one of the highest rates of diabetes in the world, with over half of the adult population diagnosed with the disease. 1 In 1877, the U.S. Congress passed the Desert Land Act, allowing settlers to claim arid or semiarid "public" lands in exchange for irrigating and cultivating them, thereby expressing in legislation a settler-colonial logic that views the frontier land as arid, in need of irrigation to produce crops and profit for settler communities.Subsequent "developmental" projects based on such reasoning, like the Roosevelt Dam (1903) and the Florence Diversion Dam (1922), have decreased the Pimas' water access by more than 60 percent, 2 caused irreversible damage to their food sovereignty and lifestyle, and introduced highly-processed market food with high sugar and fat content -a diet that has led to an epidemic of obesity and diabetes.Similar patterns can be seen among indigenous peoples across Canada, Australia, and New Zealand, where settlercolonial projects shattered the fabric of societies and destroyed indigenous farming, fishing, and food gathering practices, contributing to epidemics of obesity, hypertension, and heart diseases. 3espite following a clearly similar pattern, Palestinian health is often excluded from discussions
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 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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".