Necessary Actions of Civil and Judicial Lawyers in Defending Offenders with Mental Disorders in the Legal Systems of Iran and Canada
Bibliographic record
Abstract
Defendants often invoke mental disorders at the time of the crime as a basis for seeking exemption from criminal responsibility. In Iran, only first-grade judicial lawyers are authorized to handle legal matters, whereas in Canada, due to the differentiation of types of legal representation, even civil lawyers can support defendants. This study employs an analytical-descriptive method and aims to compare the necessary supportive actions for defendants with mental disorders in the legal systems of Iran and Canada. In Canada, the limitations on supporting defendants are significantly fewer than in Iran, making it easier to pursue all administrative and judicial issues of the defendant. Although mental disorder at the time of committing a crime is considered a factor in exempting criminal responsibility, and both the Iranian and Canadian legal systems recognize this, Iran lacks an acceptable procedural framework for proving this claim, rendering Article 202 of the Iranian Criminal Procedure Code practically ineffective. In Canada, there are highly reliable procedures for proving mental disorders such as bipolar disorder, and upon confirmation by forensic medicine, criminal responsibility for the defendant can be easily waived.
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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 | 0.003 | 0.002 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".