Research on the Modification of Chinese Death Penalty Review Proceedings: Comments on Chinese Criminal Procedure Amendment on the Death Penalty Review Procedure
Bibliographic record
Abstract
The death penalty review procedure should be a specific and distinctive procedure of Chinese death penalty. According to the modification of the new Criminal Procedure Law, the litigation factor has been strengthened, the program participation enhanced and the supervision of the prosecution developed. Hence, the process of death penalty review has become gradually reliable and scientific. However, the following aspects, on which this paper focuses, should be improved: firstly, providing the necessary protection to the realization of participatory, secondly, the participation of victims on the program option should be the creation, thirdly, the scale of judicial organization should be properly increased, finally, the trial period should be explicitly fit in.
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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 | 0.124 | 0.330 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.013 | 0.022 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.023 | 0.017 |
| Insufficient payload (model declined to judge) | 0.005 | 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".