Bibliographic record
Abstract
The Iran and Saudi Arabia as two Regional Powers, due to their Geo-economic and Geopolitical position, are the most important Regional Players in the Persian Gulf and the Middle East, which have long been known as the two main competitors in the Middle East. These two countries according to the benefit from their specific Strategic position in the region, are very vital in the Middle East. Due to the importance of these two countries in the region, relations between Iran and Saudi Arabia have a significant impact on other regional actors. Following the developments of recent years in the region, we have witnessed a serious rivalry between Iran and Saudi Arabia that was becoming more complex day by day, which above all, for the benefits of the Western Powers, especially the United States of America, and increases their influence in the region, and naturally, it is to the detriment of these two countries and other members of the Middle East. In this article, we will examine the most important causes of conflicts between these two states, Saudi Arabia’s approach regarding Iran and the strategy of the Islamic Republic of Iran against the actions of the Saudis and the relations between these two powers in general.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".