The Guidelines for Developing the Integration of Production, Education, and Research under the Background of "Double High Plan" in Guizhou, China
Bibliographic record
Abstract
The objectives of this research were: 1) to study the current situation of industry-education integration under the background of the "double-high plan" in higher vocational college in Guizhou, China, 2) to develop the guidelines for industry-education integration under the background of the " double-high plan" in higher vocational college in Guizhou, China, and 3) to evaluate the adaptability and feasibility of the guidelines for industry-education integration under the background of the " double-high plan" in higher vocational college in Guizhou, China. The population of this research contained 420 teachers from four higher vocational colleges. According to the Krejcie and Morgan sampling table (1970), the sample group of this research was 201 teachers from four higher vocational colleges in Guizhou, and simple random sampling was used in this research.Furthermore, the interviewees of this research were five administrators, teachers, and industry representatives. Five high-level administrators in Guizhou were the five experts in evaluating the adaptability and feasibility of the guidelines. Purposive sampling was used in this part.The research instruments were a questionnaire, a semi-structured interview, and an evaluation form. The statistics for data analysis were frequency, percentage, mean, standard deviation, and content analysis.The results found that: 1) the current situation of industry-education integration under the background of the "double high plan" in the higher vocational college in Guizhou was government policy support, the attractiveness of higher vocational colleges, 2) The guidelines for industry-education integration under the background of the "double high plan" in higher vocational colleges in Guizhou had three dimensions: government dimension, higher vocational colleges dimension, and enterprises dimension, and 3) The adaptability and feasibility of the guidelines were at the highest level, with values ranging from 4.00 to 5.00.
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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 | 0.039 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".