Facilitating and hindering experiences to the development of humanistic caring in the academic and clinical settings: an interpretive phenomenological study with nursing students and nurses
Bibliographic record
Abstract
Objectives This paper reports on nursing students' and nurses' lived experiences mediating their development of humanistic caring. Methods Using interpretive phenomenology, 26 participants were individually interviewed. A five-stage phenomenological analysis based on Benner's (Benner, P. (1994). Interpretive phenomenology: Embodiment, caring, and ethics in health and illness. Thousand Oaks, CA: SAGE) method occurred simultaneously. Results The analysis highlighted that the development of humanistic caring is affected by role models and counterexamples, environments in which humanistic caring is exalted or trivialized, communication-related courses, patient storytelling, and work overload. Conclusions It might be valuable to raise the awareness of nurse educators about their opportunity in shaping the development of students' humanistic caring.
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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 | 0.013 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.023 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.003 | 0.005 |
| 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".