Institutional Capacity as Prevention of Abuse of Power of National Standard Policies for Private Universities in Jakarta
Bibliographic record
Abstract
Research on this journal ontology that many private higher education institutions in Jakarta cover the impact of the policies of the Ministry of Research, Technology and Higher Education of the Republic of Indonesia as public officials to make and issue regulations that are very burdensome for the management of private higher education institutions. The purpose of this research is to criticize for improvement to the government of the Republic of Indonesia. This research used a qualitative method, while the research object was private universities in Jakarta that lack resources. The research subjects were resource persons who were aware of the constraints of the bankruptcy of private universities in Jakarta. The results of the study show that it has been proven that the state, in this case, the Ministry of Research, Technology and Higher Education of the Republic of Indonesia, makes and issues regulations that are very detrimental to the management of private higher education which is minimal in resources. The suggestion from this research shows that the government, by the constitution of the Republic of Indonesia, must be able to provide resource assistance efforts for private universities that are deficient.
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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 | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".