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
Background: Corrupt behaviour in Indonesia is increasingly becoming a culture, which is undoubtedly destructive to the economy and moral order of the nation. Corruption has become a chronic disease in the country, which requires serious treatment, especially by the state.
 Objective: Building an anti-corruption culture is a genuine and sustained intention; such an effort should be spearheaded y the government. Instilling an understanding that corruption is a despicable act based on religious and social norms which are not ethical. However, corruption’s complexity and its modes or categories have kept on the increase along with the vast power of the state in regulating social life. Various attempts have been made by all the previous governments, but they cannot free the country from the tsunami of corruption.
 Approach: Though the various policies and law enforcement models have been put in place, corruption persists today. The strategy of building an anti-corruption legal culture should be continuously promoted, in securing a corruption-free future for Indonesia.
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 | 0.000 | 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 | 0.001 |
| 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