United Nations Millennium Development Goals 4 and 5: Augmenting the role of health professional associations
Bibliographic record
Abstract
The present study aimed to assess changes in the organizational capacity of health professional associations (HPAs) before and after a structured capacity building intervention, which included strategic investment of resources at institutional and technical levels. Self-assessments of organizational capacity were conducted by seven HPAs from low-resource countries involved in the FIGO Leadership in Obstetrics and Gynecology for Impact and Change (LOGIC) Initiative in Maternal and Newborn Health. The self-assessment tool comprised a questionnaire focusing on five core organizational dimensions, completed through a participatory and externally facilitated process. Differences were assessed using the two-sided sign test. All seven HPAs made improvements, with gains in an overall index (P=0.017) and in the specific dimensions of culture (P=0.016), operational capacity (P=0.016), performance (P=0.03), and functions (P=0.016). Increased capacity contributed to the ability of each HPA to enhance their credibility and assume leadership in national efforts to improve maternal and newborn health.
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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 | 0.013 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".