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Record W4412542334 · doi:10.1017/slr.2025.65

Louis Howard Porter. <i>Reds in Blue: UNESCO, World Governance, and the Soviet Internationalist Imagination</i>. New York: Oxford University Press, 2023. xiv, 299 pp. Notes. Bibliography. Index. Illustrations. Photographs. Tables. $55.00, hard bound.

2025· article· en· W4412542334 on OpenAlexaff
Oleksa Drachewych

Bibliographic record

VenueSlavic Review · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsWestern University
Fundersnot available
KeywordsIndex (typography)HistoryBibliographyMedia studiesArt historyCorporate governanceEconomic historySociologyPolitical scienceLawManagementEconomicsComputer science

Abstract

fetched live from OpenAlex

Louis Howard Porter. Reds in Blue: UNESCO, World Governance, and the Soviet Internationalist Imagination. New York: Oxford University Press, 2023. xiv, 299 pp. Notes. Bibliography. Index. Illustrations. Photographs. Tables. $55.00, hard bound. - Volume 84 Issue 1

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)0.001
metaresearch head score (Gemma)0.002
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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.059
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0020.001
Scholarly communication0.0020.005
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0320.017

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 head0.021
GPT teacher head0.232
Teacher spread0.211 · 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
GenreReview

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
Published2025
Admission routes1
Has abstractyes

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