Perinatal Outcomes for Four Toronto Midwifery Practices: Exploring Best Practices for Normal Birth
Bibliographic record
Abstract
This study explores outcomes from four Toronto midwifery practices from 2003 to 2007, using data from the Midwifery Outcomes Database to look at similarities and differences between the practices and with provincial averages. The goals of our project included establishing a university/community partnership with the participating practices, which included Ryerson and McMaster University faculty members; improving capacity among midwives with using a provincial database; and producing a comprehensive perinatal outcomes report for midwifery practices that could be used for internal review and for presentation at interprofessional forums such as hospital rounds and interprofessional conferences. A comparative analysis between the practices and with the provincial midwifery data showed several trends, including an increased incidence of late maternal age, low rates of intervention, and high rates of home birth. Our research raises questions about scope of practice and best practices for supporting normal birth. This article has been peer reviewed.
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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 | 0.006 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".