Bibliographic record
Abstract
proved transportation safety. Measures such as universal childhood immunization, access to contraception, and health promotion to slow the pandemic of chronic disease are also public health accomplishments. Improved medical care for the sick, while increasingly effective, contributed only 5 years of life expectancy gains overall, and half the 7.5 years gained since 1950 [4, 5] . At a United Nations Summit in 2000, member nations pronounced the Millennium Development Goals (MDGs) to be achieved by 2015. Considering underlying social dynamics and conditions, they constructed 8 globally important goals. Three focus explicitly on health: maternal health, child health, and selected diseases of global importance (HIV/AIDS, malaria, tuberculosis) [6] . Others address conditions for health, such as gender equity, nutrition, water and sanitation. This declaration has been matched by an unprecedented global investment of many tens of billions of dollars annually. Each year, the United Nations issues a report on progress, produced by a monitoring and evaluation team at the World Bank. The latest report was released on July 2, 2012 [7] . Several MDG targets have been met ahead of the 2015 target, and there is progress on others. Here are some highlights. • Extreme poverty is falling in every region and the poverty reduction target has been met: the global poverty rate at USD 1.25 a day fell to less than half the 1990 rate by 2012. • The target of halving the proportion of people without access to improved water sources has been met: the Background
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 | 0.010 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.012 | 0.020 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.010 | 0.017 |
| Insufficient payload (model declined to judge) | 0.040 | 0.009 |
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".