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Record W4399762953 · doi:10.5206/notabene.v17i1.17192

"Before His Head was Cold": Puritan Piety and the Pipe Organ

2024· article· en· W4399762953 on OpenAlexvenueno aff
Jacob Skaggs

Bibliographic record

VenueNota bene · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicReformation and Early Modern Christianity
Canadian institutionsnot available
Fundersnot available
KeywordsHead (geology)PietyHistoryPhilosophyReligious studiesGeologyPaleontology

Abstract

fetched live from OpenAlex

It is well known that musical activity in colonial New England was quite low; this was in no small part caused by the Puritan emphasis on the unaccompanied singing of psalms in their churches. What is often neglected when discussing Puritan musical activity is how Calvinism’s grip on Puritan theology loosened throughout the seventeenth and eighteenth centuries, leaving room for changes to worship traditions. The same Puritans who destroyed pipe organs across England in the seventeenth century started building these instruments in their New England meeting houses towards the end of the eighteenth century. This paper uses primary sources to compare the Puritan theology of the Westminster Confession to statements of belief from Boston’s most progressive Congregationalist churches in the late eighteenth century. Such comparisons, when paired with a timeline of rhetoric surrounding instruments in worship music, connect doctrines of separation to the destruction of organs and doctrines of unity to the reinstatement of organs.

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)0.002
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: none
Teacher disagreement score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0080.036
Scholarly communication0.0040.003
Open science0.0000.003
Research integrity0.0010.003
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 head0.020
GPT teacher head0.225
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 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
Published2024
Admission routes1
Has abstractyes

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