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HISTORIOGRAPHY OF YER YEDIGE EPIC IN 2ND HALF OF 19 – 1ST HALF OF 20 CC.

2022· article· en· W4309390922 on OpenAlexaboutno aff
Aibolat K. Kushkumbayev, Talapker A. Ualiyev

Bibliographic record

VenueEdu E-History kz · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicReligious Studies and Spiritual Practices
Canadian institutionsnot available
Fundersnot available
KeywordsHistoriographyIdeologyHEROTheme (computing)HistoryContext (archaeology)Marxist historiographyEPICPeriod (music)Quarter (Canadian coin)Destiny (ISS module)LiteratureClassicsPolitical scienceArtPoliticsLawMarxist philosophyAestheticsArchaeology

Abstract

fetched live from OpenAlex

From the 2nd half of the 19 century to the 1st half of the 20 century the articleanalyses and highlights the main stages in the study of the heroic epic Yer Yedige. The destiny of Yer Yedige epic, as well as the heroes of the epic, turned out to be full of adventures and dramatic plotlines. It is arguable that to the extent that the researchers changed the image of the hero by studying the epos and adapting it to the Soviet reality and ideology, the epos changed the fate of the scholars themselves. Due to ideological pressure, which started after the Resolution of Central Committee of All-Union Communist Party of Bolsheviks in 1944, scientists radically changed their scientific career and gave up the theme of Yedige epos (A.Margulan changed from philology to archeology), which in its turn had a negative impact on Yedige studies, reducing its scientific and cognitive potential up to 80s of the 20 century. In this context, the article attempts to review the history of Yedige epic studies within conceptualist and anthropological research models used in historiographical studies. In this view, for the first period of the study of the epic of Yedige (from the 2nd half of the 19 century to the pre-revolutionary period) it is more producible to be considered within a conceptualist model of historiographical research, and for the second period (next quarter of 20 cen.) within an anthropological model of 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.737
Threshold uncertainty score0.998

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)0.0030.000

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 head0.042
GPT teacher head0.227
Teacher spread0.185 · 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.

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
Published2022
Admission routes1
Has abstractyes

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