Bibliographic record
Abstract
BACKGROUND: Nursing students experience stress as they progress through their programs of study because they must fulfill numerous theoretical and clinical requirements. Stress describes a dynamic relationship between a person and their surroundings. It is a widespread phenomena of contemporary life styles; it has been discovered to have negative health effects and to adversely impair students’ learning, and it is recognized as one of the most significant problems in the contemporary world. AIM/OBJECTIVE: The goal of the current study was to identify the sources of stress among undergraduate nursing students and to explore their coping methods. DESIGN: a qualitative descriptive methodology. METHOD: 20 semi-structured interviews were conducted individually in the English language by the principal researcher at female nursing college. The initial section of the interview consisted of a document listing the participants’ age and level. Questions derived from theoretical model were used in the interview’s second section to identify the sources of stress among undergraduate nursing students and to explore their coping methods. The qualitative data was analyzed using thematic analysis based on the Braun and Clarke framework. RESULTS: four global themes were emerged as the following: stressors, stress symptoms, coping strategies, and educational environment. The first 3 themes were derived deductively from the study theoretical model; whereas, the last theme was derived inductively from the data itself. CONCLUSION: management of the stress becomes critical. Coping strategies have been found to be effective in lowering the stress among nursing students.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".