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Record W4389356707 · doi:10.1111/russ.12583

<i>A Chto Sluchilos'?</i>: Ethnographies of Holding It Together

2023· article· en· W4389356707 on OpenAlexaff
Tatiana Chudakova, Cassandra Hartblay, Maria Sidorkina

Bibliographic record

VenueThe Russian Review · 2023
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPraxisScholarshipEthnographyContext (archaeology)PoliticsSociocultural evolutionSociologyEthnic groupIndigenousOrchestrationPolitical scienceGender studiesAnthropologyLawHistory

Abstract

fetched live from OpenAlex

Abstract This essay by sociocultural anthropologists of Russia working in the North American academy considers rupture in three ways. First, we review rupture as a theoretical concept that ethnographers have both used and contested in making sense of the end of the Soviet Union, to inform our reading of the present moment. Second, we think about what political and social relationships the war has made speakable and for whom, at a time when the possibilities of free expression in Russia carry novel risks. Anthropologists working with indigenous and ethnic minorities in Russia have long insisted on the country’s internal plurality. Drawing on this scholarship, we discuss the ways in which plurality has been freshly repoliticized in the context of the war in Ukraine, while carrying forward some of the legacies of its Soviet orchestration. Third, we observe that the 2022 invasion of Ukraine marks a rupture for ethnographers in the way we do fieldwork in and of Russia. In response, we call for a scholarly praxis of suturing together multiple scales of analysis, digital and geographic locations and incommensurable perspectives.

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)0.005
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0100.011
Scholarly communication0.0060.005
Open science0.0010.005
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 head0.110
GPT teacher head0.441
Teacher spread0.331 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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