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Record W7137477614

Red Dynamite

2021· other· en· W7137477614 on OpenAlexfundno aff
Carl R. Weinberg

Bibliographic record

VenueDirectory of Open access Books (OAPEN Foundation) · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersTemple UniversityPrinceton UniversityMcGill UniversityQueen's UniversityJohns Hopkins UniversityState University of New YorkUniversity of OxfordHarvard University
KeywordsCreationismDarwinismPoliticsDynamitePower (physics)ChristianityCommunismSocial Darwinism
DOInot available

Abstract

fetched live from OpenAlex

In Red Dynamite, Carl R. Weinberg argues that creationism's tenacious hold on American public life depended on culture-war politics inextricably embedded in religion. Many Christian conservatives were convinced that evolutionary thought promoted immoral and even bestial social, sexual, and political behavior. The "fruits" of subscribing to Darwinism were, in their minds, a dangerous rearrangement of God-given standards and the unsettling of traditional hierarchies of power. Despite claiming to focus exclusively on science and religion, creationists were practicing politics. Their anticommunist campaign, often infused with conspiracy theory, gained power from the fact that the Marxist founders, the early Bolshevik leaders, and their American allies were staunch evolutionists. Using the Scopes "Monkey" Trial as a starting point, Red Dynamite traces the politically explosive union of Darwinism and communism over the next century. Across those years, social evolution was the primary target of creationists, and their "ideas have consequences" strategy instilled fear that shaped the contours of America's culture wars. By taking the anticommunist arguments of creationists seriously, Weinberg reveals a neglected dimension of antievolutionism and illuminates a source of the creationist movement's continuing strength. Thanks to generous funding from Indiana University and its participation in TOME (Toward an Open Monograph Ecosystem), the ebook editions of this book are available as Open Access volumes from Cornell Open (cornellpress.cornell.edu/cornell-open) and other repositories.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.489
Threshold uncertainty score0.728

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0100.008
Open science0.0020.006
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.4890.284

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 head0.109
GPT teacher head0.436
Teacher spread0.327 · 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.

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

Citations0
Published2021
Admission routes1
Has abstractyes

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Same venueDirectory of Open access Books (OAPEN Foundation)→French-language works237,207→