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Record W7072315074

ІСТОРИКО-КРАЄЗНАВЧІ ПОГЛЯДИ СТЕФАНА КОВАЛІВА У ПРАЦЯХ УКРАЇНСЬКИХ ГУМАНІТАРІЇВ ЧАСУ НЕЗАЛЕЖНОЇ УКРАЇНИ

2019· article· en· W7072315074 on OpenAlexaboutno aff

Bibliographic record

VenueScientific periodicals of Ukraine · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary, Security, and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianPeriod (music)FolkloreEthnographyQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Abstract. The article describes the works of the Ukrainian scholars of the period of independent Ukraine, in which the emphasis on the analysis of S. Kovaliv՚s historical and ethnographic views was directly or indirectly addressed. In the course of the study the authors have systematized, analysed and summarized a number of special and non-special researches: monographs, periodicals, scientific-publicist works, articles and reports in the regional press.In the course of the analysis, it was found that S. Kovaliv was the author of a number of regional studies, several special historical, ethnographic and folklore works. Special attention is paid to the fact that the researchers of S. Kovaliv՚s life and activity during the period of Ukraine՚s independence discovered, characterized and published yet unpublished multi-genre works of the Boryslav writer and public-educational figure. They note that in his writings S. Kovaliv demonstrated the peculiarities of a complex cultural-educational and socio-economic situation in the western Ukrainian lands of the last quarter of the nineteenth and early twentieth centuries.A comprehensive analysis of the works of contemporary intellectuals who, in their research, resorted to the study and analysis of S. Kovaliv՚s multi-genre creative heritage will become a new promising direction for further research.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.466
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0020.004
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.030
GPT teacher head0.331
Teacher spread0.301 · 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; both teacher heads agree on what is shown here.

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
Published2019
Admission routes1
Has abstractyes

Explore more

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