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Record W2955620237 · doi:10.4236/jss.2019.76016

Six Decades of the Second Food Regime in Iran, the Trajectory of Iranian National Food Regime

2019· article· en· W2955620237 on OpenAlexaff
Mozhdeh Babagoli, Satoshi Ikeda

Bibliographic record

VenueOpen Journal of Social Sciences · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsConcordia University
Fundersnot available
KeywordsSanctionsEconomic sanctionsInternational tradeLiberalizationAgriculturePoliticsEconomicsPolitical scienceDevelopment economicsEconomyInternational economicsMarket economyGeographyLaw

Abstract

fetched live from OpenAlex

Since the 1980s, international corporations have curtailed the autonomy of national states and have developed a new form of global food regime. Although the nouvelle regime promoted a new level of economic exploitation of the Global South, there are still some countries which resist the globalist corporations’ penetration into their economies. This paper argues that the Iranian economy, due to a variety of reasons which were not necessarily endogenous, such as international sanctions, could not have been conquered by corporations. The Iranian revolutionary regime which had come up with the slogans of “Achieving Self-Sufficiency” and “Standing against Global Imperialism,” stepped towards liberalization and privatization in less than ten years. However, the political sensitivity of food, as well as various forms of sanctions against Iran, did not provide the possibility of complete integration of Iranian food sector into the global free trade system. Even the IMF’s prescription of economic reform did not lead to much deregulation, and just expanded the quasi-state sector of the Iranian economy. Therefore, the national regime, which is an evolved form of the former food regime, still overshadows the agricultural economy of Iran. The recent post-deal era also does not seem to bring a serious threat to the Iranian national food regime.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score0.413

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.046
GPT teacher head0.262
Teacher spread0.216 · 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 designObservational
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

Citations0
Published2019
Admission routes1
Has abstractyes

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