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Record W2611993285 · doi:10.5604/01.3001.0009.9101

Аналітичні публікації ПетраВолиняка: ідеологічний аспект(на матеріалі „Нових Днів”за 1950–1951 роки)

2017· article· en· W2611993285 on OpenAlexaboutno aff
Maksim Yablonsky

Bibliographic record

VenueStudia Ucrainica Varsoviensia · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary, Security, and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologyJournalismRelation (database)PoliticsGeneralizationSociologyFocus (optics)Social scienceEpistemologyPolitical scienceHistoryMedia studiesLawComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

The article analyses the analytical publications of the editor of the monthly ”Novi Dni” (Toronto) Petro Volyak during the years 1950–1951, with a particular focus on the ideological aspect. It analyses the actual social and political issues of the articles, reviews and a commentary related to the events in the Soviet Union and Canada. It demonstrates how Petro Volyak comprehended literary and artistic problems in relation to the ideological aspect. It is concluded that the publicist used research methods such as analysis, synthesis, comparison, and generalization. It was found that the ideological aspect in Petro Volyak’s analytical publications was realized with the help of the analysis of social facts and phenomena, press review, historical tours, elements of journalism investigation and forecasting. A signifi cant role of personal experience of the author is emphasized.

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)0.004
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 score0.013
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.006
Scholarly communication0.0060.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.002

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 head0.083
GPT teacher head0.395
Teacher spread0.312 · 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
Published2017
Admission routes1
Has abstractyes

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