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GRIBOEDOV AND WITTINESS IN THE USA: UM, RAZUM AND ZAUM’

2021· article· en· W3212895547 on OpenAlexaboutno aff
Angela Brintlinger

Bibliographic record

VenueCulture and Text · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLanguage, Communication, and Linguistic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVocabularyPoliticsPoetryQuarter (Canadian coin)ComedySociologyLiteraturePedagogyMedia studiesClassicsPsychologyHistoryPolitical scienceLawLinguisticsPhilosophyArt

Abstract

fetched live from OpenAlex

In 2020 Columbia University Press in the United States published a new translation of A. S. Griboedov’s play Woe from Wit into English. In the article are discussed the experience of teaching the play in a classroom of non-specialist college students and the particular complications of the play for such readers. Examples from student papers are used and the problem of vocabulary in English is discussed. The author concludes that even though the new translation conveys the content of Griboedov’s play, gives American students an opportunity to expand their knowledge about 19th century Russia, and in parts remains a comedy, certain nuances of the playwright’s poetic inventions are not yet visible. In conjunction with A. S. Pushkin’s Eugene Onegin, Woe from Wit illustrates specific political and moral qualities of society in the first quarter of the century, but the idea of wit remains unclear for students. Teachers of Russian literature in institutions of higher education in the United States and other English-speaking countries, through wittiness, along with the concepts of wit, beyond sense, and reason, help students learn about Russia. The new edition of Griboedov is yet another instrument in this effort.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.662
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.027
GPT teacher head0.327
Teacher spread0.300 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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
Published2021
Admission routes1
Has abstractyes

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