Supply Chain Management Model in Digital Quality Assurance for ASEAN University Network Quality Assurance (AUN-QA)
Bibliographic record
Abstract
This research aims were to (1) design the supply chain management model in digital quality assurance for ASEAN quality assurance network (AUN-QA), and (2) assess the suitability of the supply chain management model. The sample group consisted of five experts in the field of information technology and communication for education and quality assurance of the ASEAN university network. Data analysis was the average mean and standard deviation. The research was found that (1) supply chain management model consists of six components: 1) Applicant, 2) University, 3) Graduate, 4) Employers, 5) Satisfaction, and 6) Feedback. (2) The results from experts agreement of the supply chain management model was a high level. It showed that the supply chain management model could be used to develop digital quality assurance for AUN-QA.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".