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Record W3000805179 · doi:10.1177/2050303219900237

Immodest proposals: Learned liberal consensus as a cannibalistic theological system

2020· article· en· W3000805179 on OpenAlexaff
Aaron Ricker

Bibliographic record

VenueCritical Research on Religion · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsMcGill University
Fundersnot available
KeywordsIdeologyVisionDiversity (politics)SociologyElitePower (physics)RowanLawTheologyPolitical sciencePhilosophyPoliticsAnthropology

Abstract

fetched live from OpenAlex

This article considers imperial Roman and German forms of liberal elite consensus on “proper religious diversity” to set the stage for an examination of the contemporary form of liberal consensus discernible in a recent public talk given by Charles Taylor and Rowan Williams. In each case, attention is drawn to the ways in which “proper religious diversity” is defined to serve ideological and theological agendas. Romanitas, Germanentum, and the Taylor–Williams consensus are cannibalistic theological systems: each uses a public stance of reasonable openmindedness regarding “proper religious diversity” to build and police a theological position that arrogates the perceived value of selected “religious” traditions by re-making them in its own image. Imperial Romanitas and Germanentum served in this way to absorb a diversity of traditions deemed palatable and digestible into overarching theological visions which were convenient to those in power. When Taylor and Williams use the platform of Religious Studies to promote the modern liberal view of “diversity in (true) religion” as a source of pro-social order, their efforts serve a similar crypto-theological and imperialist project.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.023
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.916
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.003

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 head0.303
GPT teacher head0.541
Teacher spread0.237 · 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 teacher head, not a consensus.

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

Citations0
Published2020
Admission routes1
Has abstractyes

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