Personality Record and Its Role in Procedure (Case Study: Article 203 of Criminal Procedure Law)
Bibliographic record
Abstract
Stability of delinquency phenomenon refers to the continuance of an anti-social behavior. The recognition criteria of this phenomenon can be analyzed based on the dominant social frameworks. Analyzing the personality of delinquents and adapting it to specific techniques of delinquency prevention also promoting the compatibility of delinquents with the environment is a process that requires biopsychosocial studies. Personality record consists of the results of psychological, medical, and social studies and experiments regarding the personality of defendants and delinquents. Personality record plays an important role in criminal justice management. The criminal procedure law has been presented in Articles 203 and 286 of the criminal law of Iran. Personality record is one of the achievements of clinical criminology. Criminal criminology analyzes the corrigibility of delinquents using other related sciences. It also identifies the deviation rate and possible dangers of dangerous individuals. Then it becomes possible to take measures to treat the particular disorders of delinquents. Considering these matters, the recent research aims at answering the question regarding the effect of young individuals’ personality on the stability of delinquency. The main objective of this research is analyzing the role of personality record and techniques of preventing stability of delinquency among young individuals. The results of the recent research indicate that criminal procedure law has emphasized on the role of personality record in identifying penalties. However, according to the criminal procedure law, the process of analyzing the personality of delinquents has been limited to preliminary investigations.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".