Exploration and Practice on the Effectiveness of Connection of Middle and Higher Vocational Education from the Perspective of Management
Bibliographic record
Abstract
As an important part of the construction of vocational education system in China, the connection of middle and higher vocational education is an effective way to break away from the original independent system of education length for the consistent training of vocational talents, but still has many unresolved practical problems on how to make it more thorough and effective in spite of existing patterns and corresponding measures. This paper, based on practice and research, aims to solve the practical problems in the process of connecting middle and higher vocational education and enhance its effectiveness in educational practice by establishing the main line of policy guidance and practice demand, establishing problem-orientation from the three levels of policy, teaching and management, and improving the schooling system, teaching system and management system from the multi-dimensional perspectives of research-led integrated innovation, face-up to reality-oriented optimization path and problem-orientation and innovative promotion, aiming at solving the practical problems in the process of connection of middle and higher vocational education so as to enhance its effectiveness in educational practice.
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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 | 0.021 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.018 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".