One‐to‐one Midwifery: Restoring the “with Woman” Relationship in Midwifery
Bibliographic record
Abstract
One-to-One Midwifery, a model of care developed in the United Kingdom, provides a continuous and personal relationship between each woman and her midwife. The organization of care and the outcomes are relevant to midwifery policy in all industrialized countries. One-to-One Midwifery is not solo practice. An important principle of the organization of the practice is to enable individual midwives to take time off and to provide supportive structures for the midwives. Here the implications of One-to-One Midwifery for childbearing women and their families, and the midwives involved, are explored. The One-to-One Midwifery model has particular relevance for Canada because it is very similar to the model of practice being developed in at least two provinces. It may also be of importance in the United States, particularly for midwives working shifts in hospitals who may want to develop a system that allows them to provide continuity to the women they serve.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".