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Record W4404137233 · doi:10.4324/9781003469322

Scientific Atheism in East Germany (1963-1990)

2024· book· en· W4404137233 on OpenAlexfundno aff
Eva Guigo-Patzelt

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicGerman Social Sciences and History
Canadian institutionsnot available
FundersQueen's UniversityJohn Templeton Foundation
KeywordsAtheismHistoryPhilosophyAncient historyReligious studies

Abstract

fetched live from OpenAlex

This book offers an in-depth, archive-based analysis of “scientific atheism”, focused on the development of the field in the German Democratic Republic (GDR). Scientific atheism was established as a Soviet import in 1963 at Jena University, with a presence in East German universities, propaganda and politics for nearly 30 years. The chapters explore the sociological work done by scientific atheists such as Olof Klohr, how they defined religion and atheism, and their role as actors of atheisation in various fields. As well as reflecting on the specific religious and political context in East Germany, the author makes comparison with other communist-ruled countries. Drawing on extensive and unique documentation, this book will be of interest to scholars of atheism and secularism, religion and politics, religious history, German history and East European studies. The Open Access version of this book, available at https://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.

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)0.000
metaresearch head score (Gemma)0.000
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: Other
Teacher disagreement score0.010
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.032
GPT teacher head0.292
Teacher spread0.260 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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