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Record W2974442752 · doi:10.3390/rel10100546

Devotions in the Ancient Way of Offices: Medieval Domestic Devotion in the Seventeenth Century

2019· article· en· W2974442752 on OpenAlexaff
J. Harold Ellens

Bibliographic record

VenueReligions · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicReformation and Early Modern Christianity
Canadian institutionsMcMaster University
Fundersnot available
KeywordsWorshipProtestantismConfessionalInterpretation (philosophy)ArtLiturgyHistoryClassicsLiteratureReligious studiesPhilosophyLawTheologyArchaeologyPolitical sciencePolitics

Abstract

fetched live from OpenAlex

Devotions in the Ancient Way of Offices was first published as a Catholic primer for worship between intimates, then reformed for individual Protestant worship, and then reformed again for Protestant worship between intimates. Each adaptation engages the so-called “ancient” quality of its offices, primarily medieval, as authorization for the kinds of domestic worship it promotes. I examine how the author and adapters of the text authorize their creative and adaptive devotional texts through a nostalgic interpretation of medieval worship practices as uniquely representative of the worship practices of the early church. While confessional debates had polarized discussions about the lineage of the church, this text represents a trend in seventeenth-century Protestant devotional primers attempting to reconcile spiritual divisions by re-introducing Protestant believers to pre-Reformation practices of domestic devotion.

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 score0.004
Threshold uncertainty score0.028

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 studies0.0040.015
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.244
Teacher spread0.221 · 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
Published2019
Admission routes1
Has abstractyes

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