Iran, Afghanistan, and Tajikistan alliance: assessing the potential of a Persian-speaking association
Bibliographic record
Abstract
Iran has suggested the formation of a Persian-speaking Association in collaboration with Afghanistan and Tajikistan, a collaboration that focuses on facilitating trilateral trade. Using the gravity model of trade, the author confirms that creating this regional trade association would potentially result in considerable increase in trade among these states. This study further evaluates Iran’s use of the Persian identity, language and culture to unite itself with Tajikistan and Afghanistan, in order to position itself as a contender for regional superpower status. Iran’s motives for creating the Association are as follows: increasing its influence in Tajikistan and Afghanistan; acting as a counter-balance to TÜRKSOY and the League of Arab States; preventing the increasing dominance of Russia in Tajikistan; alleviating the consequences of the American and NATO presence in Afghanistan; increasing trade; and finding new economic partners in the wake of the external sanctions due to its nuclear plans.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".