Vocational Higher Secondary Education in Kerala: A Status Study of Students, Pass Outs and Training Components
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 analyses the socio-economic backgrounds and entrepreneurial\nprofiles of the students and pass outs of the Vocational Higher Secondary\nEducation in Kerala and the academic achievements of the Vocational Higher\nSecondary students and pass outs in Kerala in terms of their performance in the\nexaminations. The study also analyses the quality and availability of the various\ntraining and support facilities of the Vocational Higher Secondary Schools in\nKerala, nature and rate of employment and higher studies among the pass outs\nof the Vocational Higher Secondary Education in Kerala and the awareness of\nstudents, pass outs, teachers and principals regarding the goals and objectives,\nmode of implementation, apprenticeship training and higher study and\nemployment opportunities of the programme of the Vocational Higher\nSecondary Education in Kerala.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it