Stateless Rhythms, Transnational Steps: Embodying the Assyrian Nation through Sheikhani Song and Dance
Bibliographic record
Abstract
Interrogating the close connection between expressive culture and ethnic identity, this article examines the practice and polysemy of the traditional Assyrian line dance and song genre sheikhani in the performance context of a community twice made transnational — first in the homeland, second in diaspora. Such an expressive embodiment is integral to the articulation of a stateless national identity of the modern Assyrian peoples — an ethnic and religious minority that is indigenous to the border nexus of Syria, Iraq, Turkey, and Iran. As a result of violence and conflict, the majority of Assyrians have fled their homeland through processes of forced migration and refugee flight, resulting in a transnational diaspora with significant populations in the global north. This article considers sheikhani as a topographical and historical articulation of both Assyrian ethnic and national identity that is composed through the body politic.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".