What Could Not Be Written: A Study of the Oral Transmission of Sayfo Genocide Memory Among Assyrians
Bibliographic record
Abstract
This article discusses the ways in which eyewitness accounts about the Assyrian Genocide have been transmitted in writing and orally, reconstructed across generations, and how these accounts have been expressed in lamentations, poetry, and songs in the diaspora, after large numbers of Assyrians settled in Western states beginning in the 1960s. The study of poetry and songs is not only important for reasons of literary analysis, but more so because of the relatively few written primary sources about the Assyrian Genocide. The production of poetry and songs has partly been instrumental in avoiding censorship and renewed persecution, but in recent years has additional value as a medium to call for future action in preventing violence and transmiting memories of the past. The article also highlights culturally specific forms of coping with trauma and transmitting memory. It is based on the analysis of Sayfo lamentations and poetry produced in the homeland, 21 Sayfo songs and poems produced in the Western diaspora, and some recent interviews with the writers of these songs.
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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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.013 | 0.009 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".