Comparative Analysis between Traditional and Modern Criminal Procedure Code
Bibliographic record
Abstract
The criminal procedure code has been regarded as one of the most important and substantial codes in every state among which a major part of the criminal general discipline and criminal justice is enforced. The judicial, procedural systems and criminal procedure code regulations in Iran have been transformed during the previous decade. These transformations caused some irregularities and anomalies in judicial system and citizenship rights state in addition to organizing the criminal procedure code such that everyone witnessed these anomalies at the time of the courts’ law and courts’ resorting law. The changed in qualification of the prosecuting entity and the related section, carefully explaining the duties and the authorities of the prosecutor and investigator, allocating the enforcements due to security and legal responsibilities, practical exclusion of the investigating judge and the responsibilities of judicial court administrator and its transfer to the investigator and prosecutor, organizing the prosecutors’ and judicial references and judges’ duties and responsibilities, and so forth as well as attempting to harmonize the criminal procedure system with fair procedure system principles codified in international human rights declaration, international political and civil rights treaty and other relevant human rights documents in line with respecting for all human rights liberties and rights as identified rules in international rights and as a result, highlighting the human right approach to this issue and tendency to practical mixed investigation and procedure system.
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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 | 0.002 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".