Examining the relationship between self-efficacy, career development, and subjective wellbeing in physical education students
Bibliographic record
Abstract
We investigated the relationship between self-efficacy and career development via subjective well-being of students majoring in physical education. Life satisfaction, positive affect, and negative affect were the componennts of subjective well-being. Participants were the 1381 adolescents with major in physical education with an age range of 18-22 years (Mage = 19.5 ± 1; females = 34.76%). Hayes PROCESS model was used to develop a multiple mediation model. The results suggest that higher self-efficacy leads to better career development. Further, a significant mediating role was played by negative and positive affect in case of the relationship between self-efficacy and career exploration, but life-satisfaction is not significant mediator. Conversely, life satisfaction and positive affect are significant mediators between self-efficacy and career adaptability but negative affect is not. The findings suggest that self-efficacy and subjective well-being benefit career development of adolescents in the physical education field.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".