Career self-efficacy as a mediator between emotional intelligence and employment planning among US college students
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study examines the dynamics of personality traits that interfere with occupational decisions among young adults, especially during a pandemic. Three multiple regression analyses were conducted to predict career decision self-efficacy (CDSE), e.g., planning and indecision from the Big 5 personality measures. We hypothesized that EI and personality affect employment conflicts (Study 1), and that CDSE mediates EI and planning difficulty (Study 2). Conscientiousness and openness significantly predicted CDSE, F(5, 128) = 15.64, p < .001, R2 = .38, while neuroticism was statistically significant in predicting CSPS, F(5, 128) = 3.94, p < .01, R2 = .13. Neuroticism was significant for personality variables while a negative correlation was found between EI and career indecision (r = -0.25, at p < .01). Results demonstrate that the positive effect of CDSE mediated EI’s link to career indecision, which reveals that conscientiousness also predicted participants’ occupational indecision (β = -0.17, p < .05).
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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 | 0.000 |
| 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) | 0.001 | 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 it