Identifying the Barriers to Iran’s Saffron Export by Using Porter’s Diamond Model
Why this work is in the frame
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Bibliographic record
Abstract
Saffron is an important export product of Iran. Saffron role as an agricultural export product is now obvious worldwide. It is important to identify the barriers to Iran’s Saffron export in order to maintain Iran’s position as the world’s biggest producer and exporter of saffron. The purpose of this study is to determine the barriers to Iran’s saffron export to international markets using Michael Porter’s Diamond Model.The type of this paper is empirical and practical and the data collection method is descriptive-cognition. The related information for this scope have been collected by using library resources such as books, scientific journals and moreover, in order to accept or reject the research hypotheses a questionnaire with 42 questions made by researchers have been used. The statistical society of this research includes all the managers, advisors and experts of Iranian saffron export companies.All the hypotheses of the research were analyzed at the 95% confidence level. The results show that the most important barriers to Iran’s saffron export include the demand conditions, related and supporting industries, firm strategy, structure, and rivalry, government, and chance. The results also indicate that factor conditions are not important barriers to Iran’s saffron export.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it