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Record W1490590791 · doi:10.5539/jsd.v8n7p185

The Policy of Memory as the Tool of a Sustainable Development of Multi-Ethnic Community: the Experience of the Republic of Tatarstan

2015· article· en· W1490590791 on OpenAlexvenueno aff
Vladimir M. Bukharaev, Rinat Ahmetgalievich Nabiev

Bibliographic record

VenueJournal of Sustainable Development · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCentral Asia Education and Culture
Canadian institutionsnot available
FundersKazan Federal University
KeywordsMnemonicEthnic groupSustainable developmentPoliticsValue (mathematics)The RepublicScale (ratio)Political scienceSociologyGeographyLawEpistemologyPsychologyPhilosophy

Abstract

fetched live from OpenAlex

The urgency of the problem under investigation is caused by the scientific and theoretical value and praxiological significance of studying and understanding the positive experience of a multi-ethnic region, associated with sustainable development based on the regulation of interethnic and interconfessional relations. The article aims at defining the place and the role of a large-scale museumification of sacral mnemonic places and the accented scientific and educational activity in the system of a regional policy of the heritage in the conditions of formation of a new political device and cardinal changes in the system of spiritual values in Russia between the late XIX and the early XX centuries. The leading approach used in the research is a systemic and functional method, realized in the

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0150.017
Scholarly communication0.0050.003
Open science0.0010.007
Research integrity0.0010.003
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 head0.050
GPT teacher head0.343
Teacher spread0.293 · 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 designObservational
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

Citations1
Published2015
Admission routes1
Has abstractyes

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