Exploring the Impact of Occupational Coping Self-Efficacy and Stressors on Career Choice Satisfaction, Preparedness, and Professional Intentions Among Ontario Baccalaureate Nursing Students
Bibliographic record
Abstract
Background: In Ontario, Canada, nursing rates remain critically low per capita, underscoring the urgent need for enhanced recruitment, retention, and support for local baccalaureate nursing students. Research Question: This study examined how occupational coping self-efficacy (OCSE) and stressors in student nurses (SISN) relate to their professional satisfaction, preparedness, and intentions. Method: A sample of Ontario nursing students (n = 367) completed a survey exploring demographics, OCSE, and SISN. Results: While no significant differences were found in OCSE or stress scores related to career plans or preferences, students with greater OCSE and less stress reported greater preparedness (pp<0.001). Conclusions: Greater satisfaction and perceived preparedness are linked to higher OCSE and lower stress in Ontario baccalaureate nursing students Further research should continue to explore how confidence and stress impact nursing students’ career decisions and professional commitment.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".