Progress towards Millennium Development Goal 4 for newborn and child survival in sub-Saharan Africa.
Bibliographic record
Abstract
<p>U5MR has declined since 1990 in sub-Saharan Africa in relation to the MDG 4 target for child survival, a reduction of the U5MR by two-thirds by 2015. Although some reduction in the U5MR has been achieved, particularly since 2000, on average, the pace of the decline across the region has been too slow to meet the MDG 4 target. The figure also shows the regional trend for the NMR since 1995. Newborn deaths account for over a quarter of under-5 deaths and there has been little decline. Figure adapted from Kinney et al. 2009 <a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1000294#pmed.1000294-Kinney1" target="_blank">[9]</a> and Lawn and Kerber 2006 <a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1000294#pmed.1000294-WHO1" target="_blank">[11]</a>. Data from <a href="http://www.childmortality.org" target="_blank">http://www.childmortality.org</a> and updated for 2008 using data from <i>Countdown to 2015 for Maternal, Newborn and Child Health </i><a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1000294#pmed.1000294-Bryce1" target="_blank">[2]</a> and <i>State of the World's Children</i> 2010 <a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1000294#pmed.1000294-UNICEF1" target="_blank">[1]</a>. The second line on the graph uses data generated by IHME from Rajaratnam et al. 2010 <a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1000294#pmed.1000294-Rajaratnam1" target="_blank">[10]</a>.</p>
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.038 | 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; both teacher heads agree on what is shown here.
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".