How midwifery students experience learning conditions in labor wards
Bibliographic record
Abstract
Midwives are responsible for the well-being of women and babies during labor and birth. Learning midwifery is complex and challenging, and how students are welcomed into the labor wards affects learning. This study aimed to identify and explain the conditions that affected midwifery students’ learning in labor wards and their consequences. We used classical grounded theory to analyze longitudinal data from 15 individual and three focus group interviews of 10 postgraduate midwifery students in Norway.The key conditions identified that affect the learning outcomes of midwifery students were related to the students’ relationships with midwives, the students themselves and the learning arena. Tailored assignments from midwives enhanced students’ learning and apprehensive relationships with midwives inhibited learning. Midwives played a key role in facilitating students’ learning by tailoring their learning opportunities and debriefing after challenging incidents and thus smoothed how students’ emotions affect their self-esteem and learning process.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".