Bibliographic record
Abstract
Purpose: This research aims to analyze the impact of corruption on individual and community development, economics and politics as well as public sector services. Methode: The type of research used is normative legal research using an analytical approach. Result and Conclusion: The impact of corruption on individual and community development, economics and politics as well as public sector services, namely the Impact of Corruption on Individual and Community Development can trigger people's distrust of the government. This triggers public apathy towards the programs being or will be planned by the government. Eliminating the nature of cooperation between the community and the government. The Impact of Corruption on Economic Development sluggish economic growth and investment, decreasing productivity, low quality of goods and services, decreasing state income from the tax sector, and rising national debt. The impact of corruption on political development hampers the government's function as the guardian of state policy because it hampers the government's role in regulating allocations, equalizing access and assets, and maintaining economic and political stability. The impact of corruption on public sector services causes bureaucracy to become inefficient and causes higher administrative costs.
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.
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 | 0.001 | 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 | 0.001 | 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 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".