A review and comparison of post registration midwifery curriculum in Sri Lanka with global standards
Bibliographic record
Abstract
This paper presents the findings of a study comparing the post-registration midwifery curriculum (PRMC) taught in Sri Lanka with the International Confederation of Midwives (ICM) curriculum and five other selected curricula from other parts of the world to train midwifery trained registered nurses (MTRNs). In so doing, we consider the historical origins of post-registration midwifery training and its implications for modern teachings in Sri Lanka and other low-middle income countries (LMICs). Data collected through document review are read, summarized, and compared using checklists across different curricula components, content, and length. The wide variation in terms of length of the programs, content covered, the ratio of theoretical to practical content, and the range of skills and competencies developed has implications for the individual and professional growth of MTRNs. While there is a need to align the PRMC with the ICM standards to ensure safer maternity care in Sri Lanka, implications for developing and promoting the growth of midwifery as a strong independent body in LMIC is discussed.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.008 | 0.013 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".