Study on the System of Penalty Substitution in Taiwan, China—Based on 494 Commutation Judicial Documents
Bibliographic record
Abstract
Although the penalty substitution system has not been established in mainland China, there is no lack of relevant discussion. Some scholars suggest that we should learn from the introduction of a commutation system to alleviate the disadvantages of short-term freedom penalty and the difficulty of fine penalty implementation; other scholars discuss the function and value of penalty substitution. In mainland China, short-term free penalty and fine penalty are statutory punishments for many crimes, and if the penalty replacement can be realized within a reasonable range, it can also alleviate the disadvantages of the execution of the penalty. The judicial system of Taiwan is rich in judicial practice and has a long time to revise. Based on legislative data and 494 judicial documents related to commutation in Taiwan, China, a comprehensive review of the penalty substitution system in Taiwan will help to explore the role and limitations of penalty substitution as an alternative to punishment.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 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 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".