Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 |
| 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 it