Bibliographic record
Abstract
This article explores the English translations of contemporary Ukrainian war poetry featured in the two anthologies Lysty z Ukrainy (Letters from Ukraine, 2016) and Words for War: New Poems from Ukraine (2017), through the prism of Jacques Derrida’s concept of “relevant.” It argues that although the economy of the original poems could not always be sustained, these translations nonetheless remain relevant primarily thanks to what they do rather than what they say. After contextualizing the recent (re)emergence of war poems as a genre of Ukrainian literature and providing an overview of the two translation anthologies, the article compares the Ukrainian originals with their English translations and discusses the various translation challenges. It then returns to Derrida’s own case study to extend the modifier “relevant” beyond its “economic” parameters to apply it more broadly to translation’s socio-political significance. It concludes with a discussion of how the two anthologies in question reflect the state of the reception of contemporary Ukrainian literature in the English-speaking world and how the translations they feature inform our understanding of the (un)translatability of poetry.
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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 | 0.006 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.015 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".