How the Last Province/Territory in Canada to Launch Midwifery Services used the ICM Midwifery Services Framework as a Guide
Bibliographic record
Abstract
With a resurging demand for midwifery services by the public and community organizations, the government of PEI responded with a commitment in 2019 to introduce regulated midwifery services. This paper compares the process used in Canada’s smallest province, Prince Edward Island, to launch midwifery services using the International Confederation of Midwives (ICM) Midwifery Services Framework (MSF). RÉSUMÉÉtant donné la demande croissante de services sage-femme par la population et les organismes communautaires, le gouvernement de l’Île-du-Prince-Édouard a répondu en 2019 en s’engageant à instaurer de telles prestations réglementées. Le présent article vise à comparer le processus adopté pour le lancement des services sage-femme par la plus petite province canadienne, l’Île-du-Prince-Édouard, qui s’est servie du cadre élaboré par la Confédération internationale des sages-femmes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".