Model Development for Internal Quality Assurance in Guangxi Vocational Colleges
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
The study aimed to 1) examine components of the Internal Quality Assurance (IQA) system in higher vocational colleges in Guangxi, China, 2) assess the current state, desired state, and priority needs of the IQA system, and 3) develop a model for the IQA system. The research began with a synthesis of academic sources and policy documents, which five experts evaluated. Questionnaires were then developed based on nine components of the IQA system and distributed to 306 participants involved in quality management, including QM/QA experts. The findings revealed that the current IQA system was at a moderate level, while the desired state was significantly higher. The Priority Need Index (PNImodified) indicated urgent needs in the Criteria, Operation, and Objective systems. The proposed IQA model was constructed from literature reviews and consisted of seven components: Concepts, Principles, Objectives, Contents, Approaches, Procedures, and Evaluation. By integrating the findings on system components, current and desired states, and key needs, the study developed a comprehensive IQA model. The model’s suitability and feasibility were validated by five experts and found to be of a very high level. The study concluded with recommendations for practical implementation and directions for future research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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