The Dimensions of Threat and Insecurity along the Iran’s Eastern Borders with Emphasis on Drug Transit
Bibliographic record
Abstract
Borders are lines that separate a political unit or a country from other neighboring units or countries. The main function of the borders is determined in the interactions between surrounding countries and these mutual effects result in the governments in both sides of the border show a specific behavior towards each other. Considering what has been pointed above, the security geography of Iran’s eastern borders is highly influenced by the two neighboring countries, Afghanistan and Pakistan, which have special problems each and impact the security of Iran’s eastern borders at national and regional levels. The dimensions of threat and insecurity along the Iranian eastern borders are: drugs, terrorism, the Afghan immigrants, asylum-seekers and refugees, development of insecurity into Iran and religious actions. The drugs and drug transit, due to Iran’s adjacency to the golden crescent as the producer of 80 percent of opiates in the world, being between the source (Afghanistan and Pakistan) and target (Turkey and Europe) of the path and the destructive impacts of the drugs on country, in addition to the order villages and regions and the high costs that drugs have imposed on Iran, are highly and more significantly important. Employing analytical-descriptive method and using library resources and documents, the present study aims at clarifying the way Iran’s eastern borders have been delineated, the dimensions of threat and insecurity along the aforementioned borders with emphasis on the drugs as the main case of threat and insecurity and explaining Iran’s geographical realities and capacities for drug transit from this route in the country.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".