MétaCan
Menu
Back to cohort
Record W1576231395 · doi:10.5539/jsd.v8n7p23

To the Problem of Understanding Historical Processes in the Context of Muslim Society Modernization Processes by the Example of H.-G. Gabashy's Research Works

2015· article· en· W1576231395 on OpenAlexvenueno aff
Ayrat H. Tuhvatullin

Bibliographic record

VenueJournal of Sustainable Development · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
FundersKazan Federal University
KeywordsCaliphateHistoriographyContext (archaeology)IslamModernization theoryTatarChinaMuslim worldHistoryEmpireArmenianHistory of IslamSociologyAncient historyPolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

The urgency of the problem studied can be explained by the fact that the foundation of religious schools in the Russian Federation in 1990s lead to the problem of secular-theological disciplines proportion in the curriculum. In this respect we have to examine the experience of teaching historical disciplines in mektebe and medrese in the Russian Empire in late XIX- early XX centuries. The aim of the article is studying creative heritage and historical views of one of the most prominent educators and public men of the Inner Russia – Hasan-Gaty Gabashy. The leading approaches to the study of the problem are the historical-biographical method and the essential-substantial analysis. The interpretation of the World History in the Inner Russia Muslim schools textbooks in early ХХ century, according to H.-G. Gabashy's views, except the prophets and the Arabic Caliphate history, was biased, fragmented and highly didactic. The history of China, Middle Asia and the whole Arabic-Muslim world is given in the context of cultural-religious contacts, while the western Christian world events stay untouched in the works of the Tatar-Muslim investigator. The current article information may contribute to further study of national historiography and public opinion of Muslim people in the Middle Volga Region and the Ural Region.

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)0.012
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.172
GPT teacher head0.342
Teacher spread0.170 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Sustainable DevelopmentSame topicRegional Socio-Economic Development TrendsFrench-language works237,207