Prenatal Care and Infant Mortality in Nevada
Bibliographic record
Abstract
The U.S. outspends all other industrial countries on health care, and yet Americans hardly enjoy better health (Gorman 2010). An American baby born in 2006 can expect to live 78 years – two years less than a baby born across the Canadian border. The U.S. ranks 28th in infant mortality out of the 30 major industrial countries (Gorman 2010). A large part of the gap in infant mortality can be traced to high infant death rates in certain populations, particularly African-Americans who make up about 13% of the total population. In 2005, infant mortality for non-Hispanic blacks in the U.S. ran to 13.6 deaths per 1,000 live births compared with 5.76 deaths per 1,000 live births for non-Hispanic whites. Such disparities reflect differences in education, environment, and socioeconomic status – factors notoriously difficult to mitigate (Gorman, 2010, p. 34).
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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".