Learning from Quality Audit in Higher Education Institutions: A Tool for Community Engagement Enhancement
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
Higher education institutions (HEIs) are asked more and more to be community engaged. In fact, governments have become more sensitive regarding the role and the contributions of these institutions in the development of the society in general and students’ skills in specific. Community engagement (CE) has also become an important part of the quality accreditation framework in several countries. Through this, researchers tried to demonstrate a positive correlation between the publication of the quality audit reports and the generation of positive outcomes in terms of CE. The study notified a certain decrease in terms of recommendations related to the standard of CE in comparison with the other areas of quality assessment. However, it was not possible to establish a positive correlation between the publication of quality reports and the decrease of the number of recommendations. Researchers concluded that the institutional engagement in CE activities appears to be a more strategic imposed tool made under the constraints of the quality accreditation standards, rather than the self-awareness and self-engagement of the HEIs.
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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