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Record W4283806312 · doi:10.1017/jlr.2022.18

Neutralizing Secularism: Religious Antiliberalism and the Twentieth-Century Global Ecumenical Project

2022· article· en· W4283806312 on OpenAlexaff
Rabiat Akande

Bibliographic record

VenueJournal of Law and Religion · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsYork University
Fundersnot available
KeywordsSecularismHuman rightsPrerogativeAllianceChristianityLawPolitical scienceSecular stateReligious studiesSociologyEnvironmental ethicsPoliticsPhilosophy

Abstract

fetched live from OpenAlex

Abstract A marked feature of the contemporary U.S. constitutional landscape is the campaign by an Evangelical-Catholic coalition against the idea of secularism, understood by this alliance to mean the exclusion of religion from the state and its progressive marginalization from social life. Departing from the tendency to treat this project as a national phenomenon, this article places it within a longer global genealogy of an earlier international Christian ecumenical effort to combat secularism. The triumph of that campaign culminated in the making of Article 18 of the Universal Declaration of Human Rights, now considered the paradigmatic international legal provision on religious liberty. Article 18’s protection of the rights to proselytize and convert, I argue, was a product of an impassioned contestation between an ecumenical movement keen on securing the prerogative to spread the gospel to the non-Christian world and a secularism in a strange alliance with Islam in the region that held the greatest promise for the evangelical enterprise—Muslim Africa. In excavating the genealogy of ecumenical thought as it developed a critique of the so-called secularist threat, I recover the delicate links between the contemporary U.S. anti-secular campaign and the earlier ecumenical efforts.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.967
Threshold uncertainty score0.947

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.302
Teacher spread0.289 · 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.

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

Citations1
Published2022
Admission routes1
Has abstractyes

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