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Record W2502480395 · doi:10.1525/novo.2016.20.1.112

Review: Path of Thorns: Soviet Mennonite Life under Communist and Nazi Rule by Jacob A. Neufeld

2016· article· en· W2502480395 on OpenAlexaboutno aff
Benjamin W. Goossen

Bibliographic record

VenueNova Religio The Journal of Alternative and Emergent Religions · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Farm Safety
Canadian institutionsnot available
Fundersnot available
KeywordsIconCommunismCitationNazismArt historyPath (computing)HistoryArtComputer scienceLawLibrary sciencePolitical sciencePoliticsArchaeologyGerman

Abstract

fetched live from OpenAlex

Book Review| August 01 2016 Review: Path of Thorns: Soviet Mennonite Life under Communist and Nazi Rule by Jacob A. Neufeld Path of Thorns: Soviet Mennonite Life under Communist and Nazi Rule. By Jacob A. Neufeld. Edited by Harvey L. Dyck. Trans. by Harvey L. Dyck and Sarah Dyck. University of Toronto Press, 2014. x + 444 pages. $85.00 cloth; $37.95 paper; ebook available. Benjamin W. Goossen Benjamin W. Goossen Harvard University Search for other works by this author on: This Site PubMed Google Scholar Nova Religio (2016) 20 (1): 112–113. https://doi.org/10.1525/novo.2016.20.1.112 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Benjamin W. Goossen; Review: Path of Thorns: Soviet Mennonite Life under Communist and Nazi Rule by Jacob A. Neufeld. Nova Religio 1 August 2016; 20 (1): 112–113. doi: https://doi.org/10.1525/novo.2016.20.1.112 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 This content is only available via PDF. © 2016 by The Regents of the University of California2016 Article PDF first page preview Close Modal You do not currently have access to this content.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.372
Threshold uncertainty score0.200

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.265
Teacher spread0.236 · 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 teacher head, 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

Citations0
Published2016
Admission routes1
Has abstractyes

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