Deportation and Extradition from an International Perspective
Bibliographic record
Abstract
Deportation and extradition have been one of the long-standing issues in international law. After proposing new human rights' issues in the development of international law and human role in international relations, sometimes the question of deportation and extradition is in conflict with European human rights concept. It should distinguish between extradition with similar concepts such as delivery, transfer and dismissal. The extradition is the process that reflects the country's international collaboration and cooperation in the implementation of more stringent standards of criminal justice. Its successful implementation requires the cooperation of different countries in extradition with no political and security excuses. European Court of Human Rights as a judicial organ of the European Convention on Human Rights has issued sentences in its practice regarding some of these conflicts. Researcher with knowledge of neglecting the debate in the Iranian legal system, insists to evaluate the performance of the Human Rights Committee and the European Court of Human Rights in relation to deportation and extradition and procedure that the European Court has dealt using analytical methods to review the extradition from different angles and it is hoped that open a step for progress in Iran's penal policy and the legal in the international arena.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.016 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".