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Record W4405564617 · doi:10.1215/00138282-11343895

Introduction

2024· article· en· W4405564617 on OpenAlexaboutno aff
Nan Goodman

Bibliographic record

VenueEnglish Language Notes · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary, Security, and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophy

Abstract

fetched live from OpenAlex

In his State of the Union speech on March 7, 2024, President Joe Biden put the plight of Ukraine in its ongoing war with Russia front and center. Just minutes after beginning his speech, he called on the United States to continue its support for Ukraine in its efforts to stop the Russian invasion. This, he implied, was of the utmost importance for the sake not only of the Ukrainians but also of the rest of the world. “If anybody in this room thinks Putin will stop at Ukraine,” the president said, “I assure you, he will not.” Ukraine, President Biden explained, had become central to the preservation of freedom and democracy around the globe. “But Ukraine,” Biden said, “can stop Putin if we stand with Ukraine and provide the weapons it needs to defend itself.”1Since Russia’s invasion of Ukraine in 2014 and then again in 2022, Ukraine has gained on the world scene a prominence made all the more bittersweet by the simultaneous recognition of its long absence before. Before the war, as the three articles (Alessandro Achilli’s “Individual, Yet Collective Voices: Polyphonic Poetic Memories in Contemporary Ukrainian Literature” [Canadian Slavonic Papers 62, no. 1 (2020)]; Roman Ivashkiv’s “Translating Ukrainian War Poetry into English: Why It Is Relevant” [East/West: Journal of Ukrainian Studies 9, no. 1 (2022)]; and Olena Palko’s “Reading in Ukrainian: The Working Class and Mass Literature in Early Soviet Ukraine” [Social History 44, no. 3 (2019)]) under consideration here suggest, Ukraine existed largely in obscurity, a result of imperial Russian and Soviet policies that actively suppressed Ukrainian voices and the Ukrainian language as well as the disregard of an international community that made little to no effort to seek it out.In this installment of “Of Note,” in which we join a worldwide effort to bring Ukrainian voices back into the light, we hear from two scholars, Alessandro Achilli, who does double duty as article author and commentator, and Vitaly Chernetsky, both active scholars in the field. Achilli and Chernetsky point out that, among the casualties of centuries of neglect, Ukrainian literature has struggled to emerge from the colonial domination of Russia and the binaries of a literary history that have cast it for too long as low culture compared to high or as vernacular compared to a more formal, ostensibly more literary tongue.Achilli and Chernetsky comment on articles addressing recent literary output, including two anthologies of war poetry (Ivashkiv) and two contemporary poets—Serhii Zhadan and Marianna Kiianovs’ka (Achilli)—and the rise of a mass literature and mass readership in the 1920s (Palko). In reviewing these authors and their works, Achilli and Chernetsky argue that these articles bring a much-deserved attention to the process of Ukrainian authorship and translation and to the representation of Ukrainian voices and events that have shaped individual Ukrainians and Ukraine’s place in the history of world literature and culture overall. Attending to this literature, this “Of Note” installment suggests, is imperative not only because it rights some of the wrongs that have made it more or less inaccessible, but also because it informs us about a people who have been writing stories about themselves from which we cannot and, as President Biden put it even more forcefully, “will not walk away.”2

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.526
Threshold uncertainty score0.750

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0080.005
Open science0.0020.005
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.4740.310

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.

Opus teacher head0.015
GPT teacher head0.312
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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