Factors associated with gerontological career choice: The role of curriculum type and students’ attitudes
Bibliographic record
Abstract
Background and objective: Caring for a growing aging population presents a challenge in contemporary health care. This study aims to identify factors associated with nursing student’s career choice in older adult care and predictors of attitudes toward older adults. Such information is critical to inform effective gerontological nursing education.Methods: Undergraduate nursing students (N = 411) from three nursing schools in California participated in a cross-sectional, web-based survey.Results: In covariate-adjusted analyses, students who had prior experiences taking gerontology-related courses, working with older adults, living with older adults, being confident in providing older adults care, and having lower negative attitudes toward older adults were more likely to consider a future career in gerontological nursing. Students’ confidence in older adult care was negatively correlated with negative attitudes towards older adults.Conclusions: To increase students’ career choice in gerontology, nursing schools should provide more gerontology content in nursing curricula and explore avenues to increase student confidence in older adult care.
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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 | 0.002 | 0.007 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".