“In the Language of the Aggressor, I Cry for its Victims”: Russophone Anti-War Poetry of Witnessing
Bibliographic record
Abstract
Abstract The responses by Russian, Ukrainian, and other countries’ Russophone poets to Russia's full-scale invasion of Ukraine in 2022 constitute a unified artistic discourse, animated by recurring topics, motifs, and images. This article aims to open a discussion of this body of work by examining one of its major topics—the Russian language as both a weapon and victim of war—and by offering an overarching theoretical framework, based on the concept of witnessing, for the analysis of contemporary artistic modes generated by war, extremity, and crisis. The topic of language foregrounds the problem of the speaking subject, participating or implicated in ongoing traumatic events. I examine these poems as poetry of witnessing: verses that employ digital media to respond to traumas and atrocities from within the events and as they unfold, while questioning the moral parameters of their response and the adequacy of their artistic instruments.
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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 | 0.002 | 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 | 0.001 | 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 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".