Integrating a Career Planning and Development Program into the Baccalaureate Nursing Curriculum: Part III. Impact on Faculty’s Career Satisfaction and Confidence in Providing Student Career Coaching
Bibliographic record
Abstract
As career satisfaction has been identified as a predictor of retention of nurses across all sectors, it is important that career satisfaction of both new and experienced nursing faculty is recognized in academic settings. A study of a curriculum-based career planning and development (CPD) program was conducted to determine the program's effects on participating students, new graduate nurses, and faculty. This third in a series of three papers reports on how the CPD intervention affected faculty participants' sense of career satisfaction and confidence in their role as career educators and coaches. Faculty who participated in the intervention CPD intervention group reported an increase in confidence in their ability to provide career coaching and education to students. They further indicated that their own career development served to enhance career satisfaction; an outcome identified as a predictor of faculty career satisfaction. Study results suggest that interventions such as the one described in this paper can have a potentially positive impact in other settings as well.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".