Educational Choice and the Willingness to Apply of Higher Vocational Students in Guangdong Province, China: The Mediating Role of Career Decision-making Self-efficacy
Bibliographic record
Abstract
The purpose of this study was to explore the influence of educational choice on the intention to enter the examination, and the mediating role of career decision-making self-efficacy. A total of 1391 freshmen from six higher vocational colleges in Guangdong Province of China were investigated with Education Choices Scale, Career Decision-Making Self-Efficacy Scale and Willingness to Apply Scale. The results showed that educational choice and career decision-making self-efficacy had significant effects on the willingness to apply. Career decision-making self-efficacy plays a mediating role in the significant positive impact of educational choice on the willingness to apply. Therefore, China's educational institutions and policy makers should focus on cultivating vocational students' career decision-making self-efficacy and improving their confidence and ability in career decision-making. To help students better understand their interests, values, and career goals, and to help students better understand the career fields they face professionally.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".