Iran-Saudi Relations: Is Pilgrimage a Mirror of Conflict?
Why this work is in the frame
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Bibliographic record
Abstract
Executive Summary \nThe Hajj (pilgrimage) is considered one of the \npillars of the relationship between Iran and Saudi \nArabia. This aspect of their relationship starkly \nmirrors the political and sectarian polarisation \nin the Middle East region, of which Tehran and \nRiyadh are the leaders. The Hajj has indeed been \nthe reason behind many of the conflicts in their \nrelations. At the same time, as a recurring ritual \nfor all Muslims, the Hajj is believed to have at \ntimes reflected advances and improvements in \nthe disputed relations between the two countries, \nreflecting a sort of Hajj diplomacy. \nThis paper seeks to examine the extent to which \nHajj diplomacy succeeds in breaking the ice in \nthe deadlocked relations between the countries \nand assists in building security to face mutual \nthreats in the region, and how religion plays a \nrole in constructing relations between Iran and \nSaudi Arabia. The paper argues that despite \nreligion’s ability to represent a common element \nthat could lead to collaboration, it does not seem \nto transcend Iran-Saudi relations. While acting \nas a communication channel and an incentive for \nbroader relations, the Hajj has not succeeded in \nrepairing Iran-Saudi relations. Regional conflicts \nhave in fact spilled over into the relationship \nbetween Iran and Saudi Arabia and have further \nled to deteriorating their ties. Indeed, the Hajj \nhas been a driving factor behind worsening \nrelations, and the only times when Hajj relations \nhave improved remarkably have been during \nperiods of détente and political breakthroughs. \nInstead, there have been various instances of \nHajj politicising.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.009 |
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