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Rafał Malczewski and <i>Wiadomości</i>

2014· article· en· W2315956816 on OpenAlexaboutno aff
Elżbieta Wróbel

Bibliographic record

VenueThe Polish Review · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicLanguage and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsIntelligentsiaEliteSubject (documents)ExistentialismSpanish Civil WarPeriod (music)HistoryArt historyWorld War IILiteratureArtPolitical scienceLawPoliticsAestheticsLibrary science

Abstract

fetched live from OpenAlex

Abstract The main and most important subject of the article is Rafał Malczewski, who in the interwar period belonged to the elite of the Warsaw intelligentsia. He was successful as a painter, writer, and journalist, collaborating with the most prestigious magazines of the time. The article focuses on Malczewski’s literary output in exile following World War II, after he had settled in Montreal in 1942. Relying primarily on Rafał Malczewski’s correspondence with the poet Jan Lechoń and with the editor in chief of the London publication Wiadomości, the article shows the important role in Malczewski’s life of literary work, which saved him from existential apathy and depression. He collaborated with Wiadomości, one of the most important Polish literary magazines published in exile after World War II. The correspondence between Malczewski’s partner of many years, Zofia Mikucka-Malczewska, and Mieczysław Grydzewski, describes the events surrounding the creation of the special issue of Wiadomości devoted to the writer.

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)0.001
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.009
GPT teacher head0.306
Teacher spread0.298 · 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
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
Published2014
Admission routes1
Has abstractyes

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