PERTANGGUNGJAWABAN PIDANA KORPORASI DALAM PELANGGARAN HAK ASASI MANUSIA YANG BERAT
Bibliographic record
Abstract
This research focuses on corporate criminal liability for gross violation of human rights. Based on normative legal research, this research reveals; first, extending criminal responsibility beyond individual to corporation for gross violation of human rights is required because national states are sometimes unwilling or powerless to properly sanction corporations for fear of negative economic consequences. Corporation also results serious or systematic human rights violations and encourages criminal conduct by maintaining a corporate culture that condones or even rewards violations of the law; second, Canada and Australia have opened a prosecutorial window by suing Unocal and Anvil Mining Limited as the perpetrator of crime against humanity; last, In Indonesia prosecuting corporation for human right violations will resulted into reformulation of criminal conduct of abetting, limitation of corporate responsibility and punishment and treatment.Key words : Corporation, criminal responsibility, gross violation of human rights
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".