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Record W2148883891 · doi:10.18733/c3d30t

International Economic Sanctions, University Life, and Global Citizenship Education: The Case of Iran

2014· article· en· W2148883891 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCultural and Pedagogical Inquiry · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Sanctions and International Relations
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSanctionsEconomic sanctionsPolitical scienceIslamEuropean unionCitizenshipEconomic growthLawInternational tradeEconomicsGeography

Abstract

fetched live from OpenAlex

U.S. economic sanctions against Iran have been the main feature of U.S. - Iran relations since Iran’s 1979 Islamic revolution (Katzman, 2013). From 2006, United Nations and European Union followed such policy against Iran, as a response to Iran’s progress in its nuclear program. While the purpose of these imposed sanctions is to stop the progress of the nuclear program, there is a concern regarding the destructive effects of the sanctions on Iranian citizens’ lives. The economy of a country is integral to citizens’ well-being and influences people’s lives in different ways. Higher education is one of the sectors that can be affected by the economic state of the country. Narrating the socio-historical background of the sanctions, this paper will argue about the role of the economic sanctions on Iranian citizens’ lives, focusing specifically on students. Since economic sanctions are arguably a means of violating basic human right, i.e., education, I will propose global citizenship education as a way to counter such a violation.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.855
Threshold uncertainty score0.673

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)0.0010.000

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 head0.421
GPT teacher head0.380
Teacher spread0.041 · 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