Review: <i>To Make a Village Soviet: Jehovah’s Witnesses and the Transformation of a Postwar Ukrainian Borderland</i>, by Emily B. Baran
Bibliographic record
Abstract
Book Review| November 01 2023 Review: To Make a Village Soviet: Jehovah’s Witnesses and the Transformation of a Postwar Ukrainian Borderland, by Emily B. Baran To Make a Village Soviet: Jehovah’s Witnesses and the Transformation of a Postwar Ukrainian Borderland. By Emily B. Baran. McGill-Queen’s University Press, 2022. xviii + 234 pages. CDN $120.00 hardcover; CDN $37.95 softcover; ebook available. Heather J. Coleman Heather J. Coleman University of Alberta Search for other works by this author on: This Site PubMed Google Scholar Nova Religio (2023) 27 (2): 112–114. https://doi.org/10.1525/nr.2023.27.2.112 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Heather J. Coleman; Review: To Make a Village Soviet: Jehovah’s Witnesses and the Transformation of a Postwar Ukrainian Borderland, by Emily B. Baran. Nova Religio 1 November 2023; 27 (2): 112–114. doi: https://doi.org/10.1525/nr.2023.27.2.112 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentNova Religio Search In this well-written book, Emily Baran takes her readers to Soviet Ukraine in the first years after World War II, and the small town of Bila Tserkva on the border with Romania. Bila Tserkva was a true backwater, one of a cluster of poor, Romanian-speaking villages in an isolated corner of the newly conquered and remote Soviet region of Transcarpathia. Its most distinctive feature was its large population of Jehovah’s Witnesses. In 1949, the state arrested seven men from that community, tried them as dangerous subversives belonging to an underground network aimed at destroying the Soviet Union, and sentenced them to 25 years in prison camps. Baran uses the extensive paper trail of the investigation and trial to explore what the case reveals about state and society: the nature and mechanisms of Sovietization, and how the Witnesses and their fellow villagers navigated the process. All modern states seek to identify... You do not currently have access to this content.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.037 | 0.026 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".