MétaCan
Menu
Back to cohort
Record W2010062479 · doi:10.1017/cls.2013.56

Religious Diversity, Education, and the “Crisis” in State Neutrality

2013· article· en· W2010062479 on OpenAlexaffabout
Benjamin L. Berger

Bibliographic record

VenueCanadian Journal of Law and Society / Revue Canadienne Droit et Société · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsYork University
Fundersnot available
KeywordsNeutralitySecularismSupreme courtState (computer science)JurisprudenceSecular stateMeaning (existential)LawDiversity (politics)Variety (cybernetics)Political scienceReligious educationPoliticsSociologyFreedom of religionSecularityEpistemologyPhilosophyHuman rights

Abstract

fetched live from OpenAlex

Abstract Education—and particularly public education—has become a crucible for the relationship between state and religious diversity, a principal site for contemporary debates about the meaning of secularism and the management of religious difference. This is so across a variety of national traditions, and despite wide differences in the historical and “emotional inheritances” surrounding the configuration of law, politics, and religion. Through an exploration of Hannah Arendt’s thought about responsibility and freedom in education, this article works towards a better understanding of why education is such a crucial and fraught field in the modern encounter between religion and law. The article turns to the recent jurisprudence of the Supreme Court of Canada to draw out the implications of these ideas, arriving ultimately at a claim about the nature and limits of the concept of state neutrality.

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)0.005
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.057
Scholarly communication0.0080.005
Open science0.0010.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.012
GPT teacher head0.259
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 source (direct Gemma or distilled Codex), 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

Citations5
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Law and Society / Revue Canadienne Droit et SociétéSame topicAmerican Constitutional Law and PoliticsFrench-language works237,207