The International Childbirth Initiative: 12 Steps to Safe and Respectful MotherBaby-Family Maternity Care
Bibliographic record
Abstract
(Int J Gynecol Obstet. 2019;146:65–73) An initiative to guide and support quality maternity care has been launched by the International MotherBaby Childbirth Organization (IMBCO) and the International Federation of Gynecology and Obstetrics (FIGO). “The International Childbirth Initiative (ICI): 12 Steps to Safe and Respectful MotherBaby-Family Maternity Care” is a guide to implementing evidence-based maternity care with consideration of the MotherBaby dyad and family environment. The traditional medicine model has been shifted by the development of value-based care models focusing on the partnership between the provider and the care recipient. The ICI places the “MotherBaby-Family” unit as the central recipient of care, as the health of 1 member of the MotherBaby dyad has important impacts on the other. This model incorporates the practice of midwifery as a foundation of safe and respectful care.
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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 | 0.028 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.004 | 0.014 |
| Research integrity | 0.007 | 0.012 |
| Insufficient payload (model declined to judge) | 0.017 | 0.006 |
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".