Bibliographic record
Abstract
Chronic DiseasesFigure: Some 20,000 women took part in a free diabetes examination organized by the Bongi Ngema-Zuma Foundation in Ntabazwe, Harrismith, South Africa, in May. Photo by Xinhua / eyevine / Redux. Every year, 9 million people younger than 60 die from diseases like cancer, diabetes, chronic respiratory diseases, and cardiovascular diseases, which accounted for 63% of deaths worldwide in 2008, according to the Global Status Report on Noncommunicable Diseases. In September, global leaders met at the United Nations to set a new international agenda to address control and prevention. To read the report, go to http://bit.ly/fNgj8y. Pain Relief According to the United Nations International Narcotics Control Board, "more than 80% of the world's population has no or insufficient access to pain relief drugs." For a summary of the data, go to http://bit.ly/sgD34S. Health Care Delivery and Nursing Roles The Canadian Nurses Association (CNA) created the National Expert Commission this year to "support a positive transformation of Canada's health system." (See http://bit.ly/roQztv for the CNA news release.) And the Supreme Court of Canada unanimously voted to support the ongoing operation of Insite, which operates in Vancouver on a harm-reduction model to offer primary care and medically supervised injection for drug users. The World Health Organization has released a guide to aid humanitarian care during crisis events, Psychological First Aid: Guide for Field Workers. It can be found at http://bit.ly/n3JhsX. Africa Famine gripped Somalia and the Horn of Africa this year, putting the lives of more than 2 million children at risk, and in October the United Nations warned of a looming food crisis in Sudan. Although guinea worm disease (dracunculiasis) has nearly been eradicated worldwide, South Sudan bears the burden of 97% of the remaining cases. The World Health Organization (WHO) cautions against complacency regarding this crippling parasitic disease (see http://bit.ly/nlwbHy for the WHO fact sheet). Asia From 1996 to 2008, China's neonatal mortality rate decreased 62%, owing to a national strategy that increased the quality of and access to hospital-based obstetric care, according to a report in the September 16 Lancet. Middle East Flooding continued to cause health concerns in Pakistan, where 27% of health care facilities were left damaged or inaccessible by autumn rains.
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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.741 | 0.671 |
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".