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Record W2769923237 · doi:10.5539/jpl.v10n5p85

The Ratification and Status of the International Treaties in the Legal System of the Islamic Republic of Iran

2017· article· en· W2769923237 on OpenAlexvenueno aff
Seyed Ahmad Tabatabaei, Siamak Karamzadeh

Bibliographic record

VenueJournal of Politics and Law · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Sanctions and International Relations
Canadian institutionsnot available
Fundersnot available
KeywordsRatificationLawConstitutionPolitical scienceGuardianParliamentIslamInternational lawTreatyPoliticsGeography

Abstract

fetched live from OpenAlex

After the Islamic revolution in Iran in 1979, fundamental changes occurred in Iran’s political and legal system. Pursuant the referendum on creating the Islamic Republic in March 1979, the new constitution came into force in the same year and many of the ordinary laws of the country were also reformed. The purpose of this study is to consider the method of ratification of international treaties and the status of these instruments in the legal system of Iran. Firstly, the stages of the ratification of treaties in Iran's legal system have been explained. Secondly, the position of treaties among the other laws is discussed. This study concludes that, the international treaties, like ordinary laws, primarily should be passed by the Islamic Consultative Assembly; and after the approval of the Guardian Council, they should be signed by the President. Under the Constitution of Iran all international treaties should all be ratified by the Islamic Consultative Assembly (parliament) and the Guardian Council; however, based on the interpretations of the Guardian Council and the executive procedures, some treaties have been excluded from the ratification of the Islamic Consultative Assembly. International treaties may enjoy a higher position than that of the ordinary law through an objective interpretation, although they have been recognized as ordinary laws by the Article 9 of the Civil Code of Iran.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.864
Threshold uncertainty score0.199

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.249
Teacher spread0.214 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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