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Record W1983655479 · doi:10.2478/v10297-012-0001-9

The Use and Abuse of John Calvin in Richard Hooker's Defence of the English Church

2012· article· en· W1983655479 on OpenAlexaff
David Neelands

Bibliographic record

VenuePerichoresis · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicReformation and Early Modern Christianity
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPortraitReading (process)New englandCalvinismClassicsLawPhilosophyHistoryTheologyReligious studiesArt historyPolitical sciencePolitics

Abstract

fetched live from OpenAlex

The Use and Abuse of John Calvin in Richard Hooker's Defence of the English Church At times Richard Hooker (1554-1600), as an apologist for the Church of England, has been treated as “on the Calvinist side”, at others as an “anti-Calvinist”. In fact, Hooker and his Church were dependent on John Calvin in some ways and independent in others. Hooker used recognized sources to paint a picture of Calvin and his reforms in Geneva that would negatively characterize the proposals and behaviour of those he opposed in the Church of England, and yet he adopted Calvinist positions on several topics. A judicious treatment of Hooker’s attitude to John Calvin requires careful reading, and an understanding of the polemical use of the portrait of Calvin. Calvin was indeed grave and learned, but he was human and, as an authority, inferior to the Church Fathers, who were formally recognized as authorities in the Church of England.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.043
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.018
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.218
Teacher spread0.181 · 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 designTheoretical or conceptual
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

Citations7
Published2012
Admission routes1
Has abstractyes

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