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Record W2925271410 · doi:10.1093/jcs/csz012

Ekklesia: Three Inquiries in Church and State. By Paul Christopher Johnson, Pamela E. Klassen, and Winnifred Fallers Sullivan

2019· article· en· W2925271410 on OpenAlexaboutno aff
Jonathan Leeman

Bibliographic record

VenueJournal of Church and State · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsState (computer science)LegitimationPoliticsCollusionNarrativePower (physics)LawSociologyPolitical theologyHistoryClassicsPolitical scienceArtLiterature

Abstract

fetched live from OpenAlex

Popularly and academically, westerners often view the relationship between church and state as a story of striving toward separation and freedom. Ekklesia: Three Inquiries in Church and State works through three case studies in the Americas to provide a counter-narrative. It is not nearly that simple, says the book. Drawing on illustrations from Brazil, Canada, and the United States, authors Paul Christopher Johnson, Pamela E. Klassen, and Winnifred Fallers Sullivan argue that the “settler states” of North and South America offer “alternative patterns of conjoined religious and political power” (p. 12). Church and state may sometimes throw punches at each other. They might declare themselves independent. But they are in fact “joined at the hip” or “symbiotically joined twins” (pp. 4, 6). Each depends in some form or fashion on the other for its legitimation, its direction, and, most crucially, for the making and unmaking of a people. This “people” the authors call an ekklesia, a term whose history contains both political (the voting assemblies of ancient Greece) and religious (translated by the English New Testament as “churches”) antecedents. In that sense, it is an unexpectedly good term to capture the collusion of church and state.

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)0.002
metaresearch head score (Gemma)0.006
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: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0160.014
Scholarly communication0.0070.007
Open science0.0010.006
Research integrity0.0040.010
Insufficient payload (model declined to judge)0.0030.001

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 head0.011
GPT teacher head0.265
Teacher spread0.254 · 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
GenreReview

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

Explore more

Same venueJournal of Church and StateSame topicAmerican Constitutional Law and PoliticsFrench-language works237,207