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Record W4312708904 · doi:10.51943/1814-6961_2021_3_84

AKHMET BAYTURSYNOV AND SMAGUL SADVOKASOV: CONSENSUS IN SEARCH OF NATIONAL AND STATE IDENTITY

2021· article· en· W4312708904 on OpenAlexaboutno aff
Gyulnar Mukanova, Z.B. Bayzhumanova

Bibliographic record

VenueHistory of the Homeland · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSecurity, Politics, and Digital Transformation
Canadian institutionsnot available
Fundersnot available
KeywordsKazakhNewspaperEliteNational consciousnessState (computer science)Political scienceNational identityPublic opinionPeriod (music)FriendshipQuarter (Canadian coin)Identity (music)ConsciousnessHistoryMedia studiesLawSociologyPoliticsLinguisticsSocial scienceArtPsychologyAestheticsPhilosophy

Abstract

fetched live from OpenAlex

In the course of archaeographic research in the funds of the Orenburg region, the authors of this article revealed the previously unreported works of Smagul Sadvokasov from newspapers and magazines in Russian. In the designated period from the fall of 1920 to the first quarter of 1925, the national elite made great efforts to transform the mass consciousness. In Orenburg, editions were published in the Kazakh language under the patronage of A. Baitursynov. Sadvokasov was involved in this work. The state and public figure Sadvokasov highly appreciated the opinion of A. Baitursynov and organized a public lecture for his fiftieth birthday. The tandem of outstanding Kazakh figures and their friendship inspired S. Sadvokasov to posed the problems of the format of the Kazakh statehood within the Union, etc.

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)0.006
metaresearch head score (Gemma)0.007
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: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0070.016
Scholarly communication0.0070.006
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.047
GPT teacher head0.304
Teacher spread0.257 · 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
Published2021
Admission routes1
Has abstractyes

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