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Record W2128829360 · doi:10.1163/18712428-09504004

Mennonites and Violence in Early Modern Amsterdam

2015· article· en· W2128829360 on OpenAlexaff
Troy Osborne

Bibliographic record

VenueChurch History and Religious Culture · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicReformation and Early Modern Christianity
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsEliteCriminologySociologyDisciplineGender studiesChurch historyForbearancePolitical scienceLawHistoryClassicsPolitics

Abstract

fetched live from OpenAlex

Although Dutch Mennonites penned official positions against bearing the sword, little is known about how Mennonites negotiated the violence that permeated daily life in early modern Dutch society. This article examines Mennonite attitudes towards collective and interpersonal violence by studying the disciplinary practices of three Amsterdam congregations from 1612–1745. It contrasts the elders’ discipline of their elite members with their occasional forbearance towards poorer men and women. It argues that the leaders took a firmer position against those who signed up in the military than they did against members who committed violent interpersonal acts. Finally, it examines cases when Mennonites turned to the force of secular magistrates for justice. By the middle of the eighteenth century, the article concludes, Mennonite churches rarely punished violent offenses, suggesting that their members had internalized both the official position of the church and the broader rejection of violence by Dutch society.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.028
GPT teacher head0.214
Teacher spread0.186 · 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
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
Published2015
Admission routes1
Has abstractyes

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