Exploring the experiences of midwifery-led medication abortion care in Ontario, Canada: An interpretive descriptive study
Bibliographic record
Abstract
Improving the quality of abortion care can reduce stigma, increase access, and enhance knowledge about pregnancy prevention and reproductive health. Midwifery-led medication abortion is considered effective, efficient, accessible, person-centred, equitable, and safe in alignment with the World Health Organization’s framework on quality abortion care. As research on client-centred access to healthcare recommends, Ontario’s expanded midwifery care models are improving the ease with which people can find and use sexual and reproductive services most appropriate to their unique needs. The expanded midwifery care presented in this study demonstrates how midwifery-led medication abortion provides high-quality services, decreases stigma, and improves access to safe, acceptable, and client-centred abortion care, particularly for commonly underserved populations deserving of health equity and Reproductive Justice.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 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".