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Record W2057362934 · doi:10.1017/s0008938907000520

The German Princes' Responses to the Peasants' Revolt of 1525

2007· article· en· W2057362934 on OpenAlexaff
Thomas F. Sea

Bibliographic record

VenueCentral European History · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicReformation and Early Modern Christianity
Canadian institutionsWestern University
Fundersnot available
KeywordsLeaguePeasantGermanAlliancePoliticsSurprisePolitical scienceNobilityEconomic historyPolitical economyLawAncient historyHistorySociologyArchaeology

Abstract

fetched live from OpenAlex

The German Peasants' Revolt of 1525 represented an unprecedented challenge to the princes and other petty political rulers of the areas involved. While localized uprisings had occurred with increasing frequency in the decades prior to the 1525 revolt and an uneasy awareness of growing levels of peasant discontent was widespread among most rulers of southern and central German lands, the extent of the major rebellion that developed in early 1525 took everyone by surprise. No one was prepared to respond, either militarily or through more peaceful means. Even the Swabian League, the peacekeeping alliance of Imperial princes, prelates, nobility, and cities that eventually assumed primary responsibility for suppressing the revolt, did little to mobilize its resources for almost six months after the first appeals for help from its members against disobedient subjects reached it. When the League did mobilize, its decision created further problems for League members, since most sent their required contingents to the League's forces only to discover that they needed the troops badly themselves once the revolt spread to their own lands. Since the Council of the Swabian League adamantly refused to return any members' troops because this would hinder the League's own ability to suppress the peasant disorders, many members found themselves virtually defenseless against the rebels.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.006
Scholarly communication0.0020.001
Open science0.0000.002
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 head0.035
GPT teacher head0.233
Teacher spread0.197 · 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

Citations4
Published2007
Admission routes1
Has abstractyes

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