Application of Ultimum Remedium Principles in Progressive Law Perspective
Bibliographic record
Abstract
Ultimum remedium is one of the principles contained in Indonesian criminal law which says that criminal law should be made a final effort in the case of law enforcement. However, law enforcement through the criminal justice system is currently still dominated by the positivism mindset, a way of (criminal) law enforcement which is only based on laws and regulations. In many cases, Criminal Law is used as the only way of order. The purpose of this research is to describe the concept of Ultimum remedium in criminal law, criminal law enforcement practices in Indonesia, and criminal law enforcement concepts in the progressive law paradigm. This research used a philosophical approach discussing law enforcement idealism in the future. The data used were the qualitatively analyzed secondary data. The research results showed that the Ultimum remedium principle has not been completely implemented in law enforcement. Consequently, the burden for crime settlements got bigger and made the law enforcers busier. The Ultimum remedium principle is supported by various considering bases or grounds from the constitutional law aspect, political science, criminal law, and humanism consideration or human rights. Law enforcement in Indonesia was viewed as stagnant and discriminative law enforcement. It was illustrated as a spider web that can only trap the weak but will be easily torn by the rich and strong. Factors inhibiting law enforcement in Indonesia include weak political will and political action of the state leaders to make law as the commander. The regulations and laws reflect the political interests of authorities more than those of the society. Thus, criminal law enforcement is greatly necessary for the progressive law paradigm. Progressivity is greatly required in law enforcement. Progressive law departs from the humanistic perspective. Thinking progressively means having the courage to get out from the law absolutism thinking mainstream and positioning law in the relative position located in the entire humanistic problems.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.024 |
| Scholarly communication | 0.006 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 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; 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".