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Record W2081812797 · doi:10.5539/ass.v11n7p183

Historical Reconstruction as a New Space of Patriotism for Youth

2015· article· en· W2081812797 on OpenAlexvenueno aff
Liliya Nasyrova

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSociopolitical Dynamics in Russia
Canadian institutionsnot available
Fundersnot available
KeywordsClubPatriotismNationalismIdeologyPoliticsSpace (punctuation)SociologyState (computer science)Political scienceGender studiesMedia studiesLaw

Abstract

fetched live from OpenAlex

In recent years Russia has witnessed a massive expansion of national-patriotic youth associations. Following thedecades of officially de-ideologised politics and withdrawal of the state from the discussion of national identityyoung people turned towards various informal interpretations and enactments of Russianness. The articleinvestigates one particular case of such enactment. It describes cultural, economic, and political practices of theOrthodox military-patriotic club “Rus’” based at the Saint Vladimir church. The club is a scene uniting membersof various subcultures. It was formed as a place for young people interested in history, and reconstruction ofhistorical military equipment, and a platform to discuss and promote Russian nationalist ideas. The research,based on participant observation of the club’s activities, and interviews with its members, analyses internalorganisation of the club, ideological orientations of its members, and relations with other similar organisations,notably, with the club of Orthodox bikers. The article demonstrates how in Russia a space of a religiousinstitution becomes a platform where subcultural identities are discussed and negotiated.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.015
Scholarly communication0.0050.002
Open science0.0010.006
Research integrity0.0010.002
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 head0.056
GPT teacher head0.350
Teacher spread0.294 · 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 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

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Same venueAsian Social ScienceSame topicSociopolitical Dynamics in RussiaFrench-language works237,207