The Jackson Career Explorer: Correlates With Self-Monitoring and Social Desirability
Bibliographic record
Abstract
The Jackson Career Explorer (JCE) is a short form and continuous version of the Jackson Vocational Interest Survey measuring 34 vocational interest dimensions which can be reduced to seven factors (six vocational interest factors and one work style factor). Both the scales and factors were examined for possible significant correlations with social desirability and self-monitoring. Volunteer participants ( N = 779) aged 14 to 92 years completed the JCE, a social desirability scale, and a self-monitoring scale. Social desirability did not correlate significantly with the JCE scales and factors. Self-monitoring was found to correlate significantly with only a few of the JCE dimensions, including the performing arts, dominant leadership, and law scales as well as the business factor. Interestingly, the accountability JCE work style scale, which assesses a preference to work in an environment requiring high levels of honesty, had a significant negative correlation with self-monitoring. These results add to the validity of the JCE and add information to the area of vocational interest assessment.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".