“You have to rely on everyone and they on you”: Interdependence and the team-based rural nursing preceptorship
Bibliographic record
Abstract
Purpose A photovoice study was conducted to construct a narrative of teaching and learning to nurse in rural settings as seen through the eyes of nursing students and their preceptors. This article explores the rural context of team-based preceptorship; that is, how interdependence characterizes the quality of the transition from student to professional support networks, and in particular how professional, team-based networks function in rural settings. Methods Photovoice is a participatory research method wherein participants document their lived reality through photography, and supply narrative context to the photographs through group discussion. Four students and their four preceptors, based at health care sites in rural Western Canada, were supplied with digital cameras with which they took over 800 photographs over a ten-week preceptorship course. Preceptors and students were active participants in generating the thematic data analysis. Findings The central thesis of this project was that rural nurses bring a strong sense of community ethos to clinical practice. One aspect of this community ethos was the importance of the rural health care team in precepting a nursing student. Students experienced a transition from their urban, school-based networks to rural-based, professional networks; preceptors and the interdisciplinary team supported students through this transition. As students gained independence from the university and emerged from their student status, they were integrated into the rural interdisciplinary team and community, greatly facilitating their transition to graduate nursing practice. Conclusions More than any other single aspect of rural nursing, we feel teamwork (and community ethos, by extension) is the key to promoting rural preceptorships and rural careers. This model for preceptorship has implications for selecting rural placements and may be transferable to other settings. Ultimately, this knowledge can be used to strengthen student placements in rural areas with implications for the recruitment and retention of nurses in rural areas.Key Words: Photovoice, Rural Preceptorship, Participatory Research Method
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.012 | 0.018 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| 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".