Bibliographic record
Abstract
The Middle East is one of the most complicated regions of the world from geopolitical viewpoint.The rich nature, favorable geographical location, inexhaustible reserves of hydrocarbons of this region have historically occupied a central place in the interest of the great powers.Starting from the beginning of the 20th centure this region has been of more actuality and from this point of view, it has attracted the interest of the great powers.Gulf wars, conflict of interest between the influence of the great powers are good examples of it.We have tried to study the genesis, development, real political consequences and prospects of this issue.A number of events had taken place before the First Gulf War.The most important of these events is the Iran-Iraq War covering the years of 1980-1988.When investigating the Iran-Iraq war, it is important to pay attention to the historical period between these two countries.This historical period can be divided into two stages: the first stage started in 1932 and ended in the beginning of 1970.This stage is characterized with conflicts and border claims of the region states against eachother and it is the period of struggle for the geografical area between Iran and the former Ottoman Empire.Each of the parties tried to prove its sovereignty in the land and water areas recognized by the international community.The main reason of the conflict was the matter of the border passing along Sattul-Arab river between the two countries.Sattul-Arab river was of great importance for Iraq as it was the only access to the Persian Gulf and the oceans.Iraq did not have any other sea route going to the world markets and any straregic points for deploying its naval forces.It wanted to
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.951 | 0.941 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".