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Record W2059164208 · doi:10.1093/icon/mol004

Religious freedom in Canada and the United States

2006· article· en· W2059164208 on OpenAlexaboutno aff
Christopher L. Eisgruber, and Mariah Zeisberg

Bibliographic record

VenueInternational Journal of Constitutional Law · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsReligious freedomReligiosityJurisprudenceState (computer science)Freedom of religionPoliticsLawPolitical scienceConstitutional lawConstitutionEstablishment ClauseSociologyPower (physics)First amendmentSupreme courtHuman rights

Abstract

fetched live from OpenAlex

This article compares the constitutional treatment of religion in the United States and Canada in light of differing patterns of religious practice in the two countries. It focuses on two questions. First, to what extent might constitutional norms or constitutional structures have contributed to their differing levels of religiosity? Though the evidence is inconclusive, the article argues that there are several constitutional differences—including differences with regard to the disestablishment of religion and the fragmentation of political authority into multiple jurisdictions—that might have affected levels of religiosity significantly. Second, to what extent have the religious differences between the two countries produced different constitutional norms of religious freedom? The article argues that, in general, the religious freedom jurisprudence of the two countries is surprisingly convergent, but there is one important difference: the idea of a “strict separation of church and state” pursuant to which any state support for religion or any state entanglement with religion is unconstitutional, has great power in the United States but little in Canada. Discrepancies between Canadian and American religious history have undoubtedly contributed to this difference.

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: Empirical · Consensus signal: none
Teacher disagreement score0.948
Threshold uncertainty score0.999

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 studies0.0000.005
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 head0.007
GPT teacher head0.254
Teacher spread0.247 · 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

Citations8
Published2006
Admission routes1
Has abstractyes

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