Six Decades of the Second Food Regime in Iran, the Trajectory of Iranian National Food Regime
Bibliographic record
Abstract
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.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".