Iran and Its Boundaries in Challenging with Foreign Relation (1789 - 1836)
Bibliographic record
Abstract
From ancient times, Iran’s boundaries were formed by Iranian kings’ struggles. From that time, an imagination about these boundaries was formed in Iranian minds and has been continued until now. So, one of the important duties of Iranian kings was to expand Iran’s boundaries to that of ancient times. The aim of this research is to investigate Iran’s relations with European countries and the role of these relations in forming the Iran’s boundaries from 1789 to 1828. In this research, a descriptive-analytic method is used. The findings of this research show that in Qajar dynasty, Agha Muhammad Khan and Fath Ali shah made some great attempts to expand Iran’s boundaries to that of ancient times in order to, through which, can legitimate their rule on Iran. These actions made Iran to enter European countries’ politics widely. Russia advanced in Caucasus and the Britain entered Iran’s affairs widely to protect its realms in India, and France set a relationship with Iran in order to access India. Entrance of the unknowledgeable Iranians in international politics led to Iranian amazement, and European countries’ interference in forming the Iran’s boundaries, and, step by step, Iran lost some of its parts.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".