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Record W2919911948

«Aлпaмыс бaтыр» жыры: зерттелуі мен нұсқaлaры

2018· article· ru· W2919911948 on OpenAlexaboutno aff
P. Bissenbayev E. Karibozov

Bibliographic record

VenueЕвразийский журнал филологии: Наука и Образование · 2018
Typearticle
Languageru
FieldSocial Sciences
TopicEducation, Innovation and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLegendKazakhTypologyHistoryEPICQuarter (Canadian coin)LiteratureArtLinguisticsArt historyArchaeologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

It is known that the recording of the versions of the legend «Alpamys Batyr» and its first research started already in the last quarter of the nineteenth century. Its various different variants, were several times published by Jusipbek Shahislamov, not to mention other researchers. The study of this epic heritage was carried out by well-known scientists of the Soviet Union. Their works were focused on the typology of genre of the legend «Alpamys Batyr». Comparing variants of wide circulation in the Uzbek, Karakalpak and Kazakh traditions, they stopped especially on the main features of each version. The earliest known to us versions of the legend «Alpamys Batyr» can be found in the works of Maykot and Zhiemurat. The researcher gives sspecial attention to differences between these options. There it is also reported about the version published by S.Mukanov. The article also highlights historical issues related to the problem of the legend.

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)0.002
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 score0.016
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.004
Scholarly communication0.0050.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0160.007

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 head0.044
GPT teacher head0.411
Teacher spread0.367 · 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
Published2018
Admission routes1
Has abstractyes

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