Native Americans’ Experience of Chronic Distress in the USA
Bibliographic record
Abstract
Four million Native Americans who identify as single race live in the USA. Another three million identify as Native American in combination with another race. Yet they are rarely the focus of detailed research. We provide the first evidence that levels of consistently poor mental health, or chronic distress, among Native peoples were greater in every year between 1993 and 2020 than among White or Black Americans. We find this to be present among those over the age of thirty but less so for the young. Over time we demonstrate there has been a rise in chronic distress among Native Americans and multi-race individuals. However, chronic distress seems to be lowest among Native peoples living in the seven states with the largest Native American populations of Alaska, Arizona, Montana, New Mexico, North Dakota, South Dakota and Oklahoma. In our judgment these facts are important and not widely known. This stands in stark contrast to the enormous scholarly and media interest in declining physiological well-being among White Americans.
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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 | 0.003 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".