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Record W3181572161 · doi:10.1080/00085006.2021.1915518

Why so serious? Tragedy and whimsy in late Soviet and post-Soviet Russian monuments

2021· article· en· W3181572161 on OpenAlexvenueno aff
Aaron J. Cohen

Bibliographic record

VenueCanadian Slavonic Papers · 2021
Typearticle
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsnot available
FundersAmerican Councils
KeywordsPoliticsConservatismTragedy (event)Pluralism (philosophy)AppealAestheticsPublic spherePublic spaceContext (archaeology)HistorySociologyLawLiteraturePolitical scienceArtPhilosophyArchaeology

Abstract

fetched live from OpenAlex

Serious monuments to the tragic past and whimsical representations of the everyday reflect the structural realities of a new Russian memorial culture. Structural pluralism provides space for expressions of cultural conservatism and Soviet nostalgia, but it also encourages monument builders to address broad audiences and avoid political polarization. Moreover, it allows local authorities to experiment with new forms of representation in efforts to appeal to local constituencies. The commemoration of tragedy has entered Russian public space, shaped by the contours of its pluralist public, new need for public relations, and fractious political culture. Humour was also not a great hallmark of Soviet monumental art, but public space in post-Soviet Russia has plenty of room for the humorous, the fantastic, and the whimsical. The presence of the whimsical and the tragic in sculptural form is enabled by pluralist institutions, civic boosterism, and critical public discourse in a context much different from monument building in the Soviet era.

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)0.005
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: Other · Consensus signal: none
Teacher disagreement score0.094
Threshold uncertainty score0.187

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0200.024
Scholarly communication0.0100.005
Open science0.0010.007
Research integrity0.0020.004
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 head0.013
GPT teacher head0.254
Teacher spread0.241 · 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
GenreOther

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

Citations4
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Slavonic PapersSame topicMemory, Trauma, and CommemorationFrench-language works237,207