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Record W2562139702 · doi:10.5539/jpl.v10n1p197

Deportation and Extradition from an International Perspective

2016· article· en· W2562139702 on OpenAlexvenueno aff
Zeynab Kiani, Zeynab Purkhaghan

Bibliographic record

VenueJournal of Politics and Law · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicTorture, Ethics, and Law
Canadian institutionsnot available
Fundersnot available
KeywordsDeportationHuman rightsLawPolitical scienceConventionInternational human rights lawImmigration

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
Threshold uncertainty score0.485

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.035
GPT teacher head0.354
Teacher spread0.318 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2016
Admission routes1
Has abstractyes

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