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Record W643796726

From preachers to suffragists : woman's rights and religious conviction in the lives of three nineteenth-century American clergywomen

2003· book· en· W643796726 on OpenAlexaff
Beverly Zink-Sawyer

Bibliographic record

VenueMedical Entomology and Zoology · 2003
Typebook
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsConvictionSuffrageRhetoricMovement (music)Christian ministryHistoryReligious studiesLawSociologyPolitical scienceArtTheologyPhilosophyAestheticsPolitics
DOInot available

Abstract

fetched live from OpenAlex

The women's rights movement in nineteenth-century America has primarily been interpreted as a secular movement. However, in From Preachers to Suffragists, Beverly Zink-Sawyer examines the lives of three nineteenth-century clergywomen--Antoinette Brown Blackwell, Olympia Brown, and Anna Howard Shaw--who, seeing their calling to the suffrage movement as an extension of their call to ministry, left the parish to join and become leaders in the movement. Zink-Sawyer tells the stories of their courageous lives, quoting their sermons and writings and tracing their struggles before and after ordination. In doing so, she persuasively demonstrates the vital importance of these leaders--of their religious rhetoric and their theological leadership--in shaping the movement as a whole, reclaiming its religious roots and making a major, even corrective, contribution to American history.

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)0.001
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 score0.032
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0130.015
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.010
GPT teacher head0.275
Teacher spread0.265 · 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

Citations19
Published2003
Admission routes1
Has abstractyes

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