Good health and well-being: Ensure healthy lives and promote well-being for all at all ages
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Reports that low-income countries have younger populations than high-income countries, because as countries become richer, fertility rates fall and life expectancy rises. While life expectancy has generally risen, HIV/AIDS caused sharp declines in many countries in the 1990s. In low-income countries, children under age 5 account for one in three deaths, with the greatest risk in the first 28 days of life. Birth attendance by skilled health staff helps reduce maternal and neonatal mortality. Globally, 1 in 11 deaths result from injury, and traffic accidents account for over a quarter of these. Low-income countries have a severe shortage of specialist surgical workers. While universal health coverage provides access to the care people need without financial hardship, service coverage varies widely across countries. In 2010, 800 million people spent over 10 percent of their household budget on healthcare, and 97 million fell into extreme poverty due to health spending.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 it