The experiences of intrapartum nurses in a northeastern Ontario, Canada setting in providing labour support
Bibliographic record
Abstract
A qualitative, interpretive descriptive study, using a symbolic interactionism theoretical \nframework, was conducted to explore the experiences of intrapartum nurses in a Northeastern \nOntario, Canadian hospital and the meaning they place on providing labour support. There is \nsubstantial literature that supports the many benefits of labour support provided by intrapartum \nnurses. Throughout the intrapartum experience, the nurse influences, creates, and shapes the \nmeaning and understanding of the labour experience. Semi-structured interviews were conducted \nwith eight registered nurse participants recruited from a hospital. Interviews were transcribed and \nanalyzed for themes. The following five themes emerged from the data: Enhancing the birthing \nexperience of women through labour support, birthing technology and medical paradigm, \nbirthing environment that influences the intrapartum nursing care, interprofessional collaborative \nrelationships and intrapartum specialists. The findings suggest that intrapartum nurses have been \ndrawn away from providing labour support and have become preoccupied with managing \ntechnology and competing priorities for their time and attention. Barriers and challenges in the \nexperience of nurses providing labour support were identified. Suggestions for nursing practice \ninclude the importance of continuing education for labour support techniques and tools. Training \nis important for all nurses who practice in hospitals where less labour support may be offered due \nto high intervention rates. Competence validation would include creating a certification for \nlabour support that is both theoretical and a simulated experience.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".