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Record W2964072459 · doi:10.33137/rr.v41i4.32485

Singing the Resurrection: Body, Community, and Belief in Reformation Europe

2019· article· en· W2964072459 on OpenAlexvenueno aff
Erin Lambert, Michael P. O’Connor

Bibliographic record

VenueRenaissance and Reformation · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicReformation and Early Modern Christianity
Canadian institutionsnot available
Fundersnot available
KeywordsSingingManagementEconomics

Abstract

fetched live from OpenAlex

Singing the Resurrection brings music to the foreground of Reformation studies, as author Erin Lambert explores song as a primary mode for the expression of belief among ordinary Europeans in the sixteenth century, for the embodiment of individual piety, and the creation of new communities of belief. Together, resurrection and song reveal how sixteenth-century Christians—from learned theologians to ordinary artisans, and Anabaptist martyrs to Reformed Christians facing exile—defined belief not merely as an assertion or affirmation but as a continuous, living practice. Thus these voices, raised in song, tell a story of the Reformation that reaches far beyond the transformation from one community of faith to many. With case studies drawn from each of the major confessions of the Reformation—Lutheran, Anabaptist, Reformed, and Catholic—Singing the Resurrection reveals sixteenth-century belief in its full complexity.

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)0.005
metaresearch head score (Gemma)0.005
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.025
Scholarly communication0.0070.004
Open science0.0010.005
Research integrity0.0020.002
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 head0.025
GPT teacher head0.230
Teacher spread0.205 · 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

Citations6
Published2019
Admission routes1
Has abstractyes

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