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Pasternak, Boris (1890–1960)

2018· book-chapter· en· W4240441938 on OpenAlexaff
Megan Swift

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEastern European Communism and Reforms
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsSisterHEROMeaning (existential)LiteraturePoetryArtHistoryPhilosophyLawPolitical scienceEpistemology

Abstract

fetched live from OpenAlex

Major Russian poet and writer, Pasternak, was recognized as a leading, original poetic talent with the collection My Sister Life (written 1917, published 1922). My Sister Life is a celebration of the fecundity of nature, of love, artistic creation, and the thrilling experience of revolutionary change. Beginning in the late 1920s, Pasternak felt increasingly isolated and out of step with Soviet literary culture. After 1934 he focussed his talents on literary translation, producing some of the finest translations of Shakespeare into Russian. In 1956 Pasternak completed Doctor Zhivago, his long-dreamed-of novel about an individual hero caught up in revolutionary Russia. Pasternak was awarded the Nobel Prize for Literature in 1958. An international scandal flared after he at first accepted the distinction and then was pressured by Soviet authorities to refuse it with the words "Considering the meaning this award has been given in the society to which I belong, I must reject this undeserved prize which has been presented to me." Doctor Zhivago was adapted as a major motion picture by director David Lean in 1965, and again by Giacomo Campiotti in 2002.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.015
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.007

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 head0.037
GPT teacher head0.279
Teacher spread0.242 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2018
Admission routes1
Has abstractyes

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