Why do midwives stay? A Descriptive Study Investigating Retention amongst Currently Practicing Ontario Midwives
Bibliographic record
Abstract
This descriptive, exploratory study was designed to explore why Ontario midwives stay in clinical practice. All registered midwives in the province were invited to complete a Web based survey, and a response rate of 38%, was ascertained. Descriptive statistics were used to analyze quantitative data, while content analysis was employed to analyze qualitative data. Midwives enjoy their work, and are highly committed to the profession. Relationships with clients and making a difference through their work are key factors in staying in the profession. Midwives report that autonomy in their work is a mediator of job satisfaction. Important support mechanisms for midwives include relationships with their partner, colleagues and family. The stress related to being on-call and conflict with hospitals, colleagues, and other professionals were identified as barriers to job satisfaction. Midwives repeatedly described a need for greater flexibility in working patterns. Recommendations for future research are offered.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.014 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.000 | 0.003 |
| 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; both teacher heads agree on what is shown here.
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".