MétaCan
Menu
Back to cohort
Record W2964157049 · doi:10.1177/1743872119864674

The Invisible Center: Christian Liberalism in American Religious Freedom Jurisprudence

2019· article· en· W2964157049 on OpenAlexaff
Hannah Dick

Bibliographic record

VenueLaw Culture and the Humanities · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsCarleton University
Fundersnot available
KeywordsLiberalismJurisprudenceLawEstablishment ClauseFree Exercise ClauseNeutralityPolitical scienceSupreme courtSociologySeparation of church and stateScrutinyChristianityState (computer science)Classical liberalismPoliticsPhilosophyReligious studiesFirst amendment

Abstract

fetched live from OpenAlex

This article interrogates the notion of liberal state neutrality when it comes to adjudicating religious freedom claims. Drawing on work in political theory, legal theory, and religious studies, I argue that Christianity is a central and invisible feature of liberalism. I then examine how Christian liberalism has shaped American religious freedom jurisprudence, analyzing contradictory Supreme Court decisions involving free exercise and establishment claims. On the one hand, the language of secular purpose has safeguarded several Christian expressions from Establishment Clause scrutiny. On the other hand, since the passage of the Religious Freedom Restoration Act (1993), some Christian conservative legal advocates have repositioned Christianity as a persecuted religion requiring free exercise exemptions from antidiscrimination law. That the Court has recently obliged this more narrow understanding of religious freedom demonstrates the resilience of the Christian liberal state. While the cases are drawn from the American context, I suggest that the language of Christian liberalism is a useful conceptual tool for analyzing religious freedom claims in a variety of liberal democratic contexts.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.960
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.007
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 head0.009
GPT teacher head0.253
Teacher spread0.244 · 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
GenreOther

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

Citations3
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueLaw Culture and the HumanitiesSame topicAmerican Constitutional Law and PoliticsFrench-language works237,207