FIGO Saving Mothers and Newborns Initiative 2006–2011
Bibliographic record
Abstract
Reduction in maternal mortality is a key Millennium Development Goal (MDG 5). In an effort to contribute toward achievement of MDG 5, FIGO's Safe Motherhood and Newborn Health Committee worked with associations of obstetricians, gynecologists, and midwives in 10 low- and middle-income countries between 2006 and 2011. Contributions were made by professional associations in high-income countries through a structured north-south mentoring program. Each project focused on identified needs within each country and resulted in varied approaches and targets, ranging from clinical training, protocol development, and implementation of clinical audit through to legislative and policy change. Significant and largely sustainable results were achieved, particularly in relation to the relatively small-scale funding available. This resulted in direct improvements to maternal and newborn health outcomes. The capacity of both FIGO and national professional associations was also substantially strengthened in project design, management, and implementation, leading to opportunities to further support international development efforts in the future.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".