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Record W4312774152 · doi:10.51943/1814-6961_2021_2_157

EDUCATIONAL ACTIVITIES OF THE FIRST PUBLIC ORGANIZATIONS IN KAZAKHSTAN

2021· article· en· W4312774152 on OpenAlexaboutno aff
Auezhan K. Shashaev, Венера Сериковна Зикирбаева, K.M. Murzakhodzhayev, R.Z. Mrzabaeva

Bibliographic record

VenueHistory of the Homeland · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCentral Asia Education and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsIntelligentsiaPoliticsQuarter (Canadian coin)Political sciencePeriod (music)ColonialismPublic administrationSpanish Civil WarEconomic growthEconomic historyLawHistoryArchaeology

Abstract

fetched live from OpenAlex

The article examines the history of the formation of public organizations and its initial stages of scientific and educational activities in Kazakhstan in the first quarter of the twentieth century. It is clear that the consequences of the February-October revolutions of the Soviet period, the civil war and subsequent political and social events had a negative impact on the culture and education of Kazakhstan. When everything that remained of the imperial colonial system was destroyed as a relic of the old, it became necessary to create values that would meet the requirements of the new system. Representatives of the national intelligentsia understood this and rallied on a voluntary basis in all areas necessary for the people, despite the lack of funding. The article analyzes the activities of these public organizations on the basis of archival sources.

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: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0060.003
Scholarly communication0.0040.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.233
Teacher spread0.219 · 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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