Perceptions and Nursing Demands and Experiences in the Midst of an International Crisis (Pandemic): A Qualitative Study of Nurse Educators’ Experiences
Bibliographic record
Abstract
The COVID-19 pandemic caused widespread disruption to nurse educators’ work, both within higher educational institutions and in clinical practice learning environments. In this study, we explored the experiences of nurse educators in academic and clinical settings during COVID-19 and the impact the pandemic has had on their work. We conducted semi-structured interviews with 15 nurse educators from six different countries and used thematic analysis to gain a comprehensive understanding of nurse educators experiences during the pandemic. The participants’ experiences were classified into stages that reflected the intensity of the pandemic and resulted in four themes: a) the calm before the storm, b) battening down the hatches, c) weathering the storm, and d) silver linings. Understanding challenges and supporting nurse educators throughout the pandemic is essential to maintaining appropriate nursing education in both academic and clinical settings.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".