Preceptors’ Perceptions of Their Role in a Pediatric Acute Care Setting
Bibliographic record
Abstract
BACKGROUND: This study explored preceptors' perceptions of the benefits, rewards, and supports associated with the preceptor role and their commitment to the role in a pediatric acute care setting. METHOD: A survey with a quantitative and semi-qualitative design was used. RESULTS: The survey was completed by 266 preceptors, who reported that their experience was mainly positive. They perceived the preceptor role as preparation for other leadership opportunities. The preceptors reported that they experienced pride in the role of preceptor and described the challenges they faced, such as workload and the need to adapt to different learning styles. Years of nursing experience and age were significant factors that influenced their perceptions of enjoyable aspects of the role and the types of support that they needed as preceptors. CONCLUSION: Preceptors perceived sufficient benefits and rewards to remain committed to the role and identified workload as a significant challenge. Further research is needed to explore whether additional supports or recognition tailored to level of experience and age may be beneficial.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".