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Record W4235735082 · doi:10.7765/9781847793232.00013

Women in missions at home and abroad

2013· book-chapter· en· W4235735082 on OpenAlexaboutno aff
Jennifer Lloyd

Bibliographic record

VenueManchester University Press eBooks · 2013
Typebook-chapter
Languageen
FieldSocial Sciences
TopicReligion, Society, and Development
Canadian institutionsnot available
Fundersnot available
KeywordsEvangelismQuarter (Canadian coin)IndigenousWork (physics)EmigrationPolitical scienceHistoryGeographyEconomic growthArchaeologyEngineeringLaw

Abstract

fetched live from OpenAlex

This chapter surveys Methodist missions throughout the century and the opportunities they provided for professional female evangelism. It adopts a broad definition of missionary work, including home missions, missions to emigrant communities, mainly in British colonies and foreign missions. All provided opportunities for women to preach, although these varied by time and place. Home missions to areas outside any Methodist organizational structure declined in importance in the mid-century, but became a major focus in the last two decades of the century when Methodists started to pay greater attention to working among the poor in cities. All home missions continued to provide opportunities for female evangelists, some of whom were hired as paid workers by their Connexions. Missions to emigrant communities were particularly important for the Primitive Methodists and Bible Christians, who lost substantial numbers of home members to emigration. In the last quarter-century overseas missionary societies began to recruit women, largely to work with indigenous women and children in Africa and Asia.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0190.004

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 head0.028
GPT teacher head0.232
Teacher spread0.204 · 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 designQualitative
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
Published2013
Admission routes1
Has abstractyes

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