Vocational Education: A Missing Link for the Competitive Graduates?
Bibliographic record
Abstract
The present study is based on the issue of the competitiveness of vocational education graduates. This condition is likely due to the irrelevance between the content or the competencies developed and the superiority of the regions (Regency/Municipality). Therefore, the first step to improve the competitiveness of the graduates is evaluating the accordance of their competencies developed by the vocational education in every region of the regency or municipality. This study used a policy evaluation method formulated in the form of Service Quality (ServQual) by taking all vocational schools in 6 (six) sample districts/cities. The research instruments used are in-depth interview and document studies. The data were then analyzed using Location Quotient (LQ), growth ratio, and Overlay (Ovr) analysis. It indicates that the content of vocational education reflected in the competence of skills developed was not relevant to the issues or potential of each district/city. This condition causes the low competitiveness of vocational education graduates, both in entrepreneurship and competitiveness in the national and international labor market.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".