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Record W3146000058 · doi:10.30965/24518921-00601007

Patriotic Legitimation and Everyday Patriotism in Russia’s Constitutional Reform

2021· article· en· W3146000058 on OpenAlexaff
J. Paul Goode

Bibliographic record

VenueRussian Politics · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSociopolitical Dynamics in Russia
Canadian institutionsCarleton University
Fundersnot available
KeywordsLegitimationPatriotismElitePoliticsAppropriationPolitical economyPolitical scienceConstitutionLawPublic administrationSociology

Abstract

fetched live from OpenAlex

Abstract Russia’s 2020 Constitutional reform was notable not just for the substantial institutional changes introduced, but also for the almost complete lack of public discussion of those changes in elite debates or the public campaign for the nationwide vote. Instead, proposals to write social and patriotic issues into the Constitution absorbed the lion’s share of coverage. These issues were not superfluous, but rather reveal the dynamics of patriotic legitimation and the role of everyday patriotism in Russian politics today. Among Russia’s elite, patriotic legitimation regulates competition, determines the boundaries of acceptable public politics, and provides access to regime patronage. For the public, the avoidance of politics and the appropriation of Russians’ everyday patriotism facilitated the mobilization of an apolitical electorate in the nationwide vote. While the reform may have strengthened the institutional basis of Putin’s rule, it potentially limits the regime’s adaptability and could affect its long-term survivability.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.005
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.022
Scholarly communication0.0040.002
Open science0.0000.004
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 head0.016
GPT teacher head0.310
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 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

Citations20
Published2021
Admission routes1
Has abstractyes

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