The making of transnational Islamic networks in early Cold War South Korea
Bibliographic record
Abstract
Abstract The Korean Peninsula is often neglected in investigations on Islam in East Asia. The region already occupies the conceptual peripheries of studies on Muslim societies. During the two decades after the Korean War (1950–1953), however, Seoul hosted a small yet active community of Korean Muslim converts and visitors from places such as Malaysia/Singapore, Pakistan, Turkey, and Saudi Arabia. The early Korean Muslim leaders, some of whom first encountered Islam in Japanese-occupied Manchuria, attempted to plug themselves into transnational Islamic networks and politics in the transformed context of the Cold War. Internally, Korean Muslim leaders advocated for the utility of Islam as a diplomatic resource for the South Korean government in the struggle against communism, thereby reformulating pre-war articulations of Islam policy that had circulated across China and Japan, as well as narratives on unified Islamic civilization with an inherent cultural essence. Externally, they forged educational and philanthropic networks by connecting with Muslim diasporic figures in the East and Southeast Asian sphere, such as Ibrahim Omar al-Saqqāf, the Hadrami Arab consul of the Saudi consulate in Singapore and an agent of the World Muslim League in Mecca. By situating the emergent Korean Muslim community in Seoul within a regional and trans-regional religio-political nexus, this article repositions it as having formed through encounters with modern state(s) and power, and through interactions with Muslim diasporic agents who (re-)directed post-war mobility channels.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".