Tuberculosis Death and Survival among Southern California Indians, 1922–44
Bibliographic record
Abstract
According to Death Registers kept by agents of the Office of Indian Affairs, between 1922 and 1946, Cahuilla, Kumeyaay, Cupeño, Luiseño, Serrano, and Chemehuevi people of the Mission Indian Agency of Southern California suffered 180 recorded deaths caused by tuberculosis, the leading cause of death resulting from infectious disease. Nearly half of those who perished were between the ages of 15 and 39. The leading "occupation" of those who died was "child/student." Throughout the period under examination, Indians had much higher crude death rates per 100,000 population than did all people in the United States. In 1926, the Native death rate reached its zenith of 661, compared to 86 among all races within the United States. Death rates among First Nations people in Southern California declined during the 1930s and dropped off dramatically during the 1940s due to public health efforts of field nurses and teachers as well as the agency of Indian elders who taught children about the causes, transmissions, treatment, and prevention of tuberculosis.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".