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Record W3121629994 · doi:10.1515/lehr-2016-0011

Religion as Identity

2016· article· en· W3121629994 on OpenAlexaff
Avigail Eisenberg

Bibliographic record

VenueLaw & Ethics of Human Rights · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPolityIdentity (music)InjusticeReligious identityContext (archaeology)State (computer science)PoliticsPolitical scienceDisadvantageSociologyReligious freedomLaw and economicsLawSocial psychologyPsychologyReligiosity

Abstract

fetched live from OpenAlex

Abstract This paper examines the shift in how religious freedom is understood from a matter of protecting individual choice to a matter identity. According to the choice approach, the state must protect the individual’s freedom to choose but it cannot be expected to bear the costs of the religious choices citizens make. The identity approach treats the claims individuals and groups make about their religious commitments as non-negotiable facts rather than choices and considers the failure of the state to protect these commitments as unjust because it exposes the individual to disrespect and disadvantage, and stigmatizes and excludes them from full membership in the polity. This paper examines the political context in which the identity approach has emerged in the last 50 years. It then examines three implications of this shift from choice to identity for the protection of religious freedom. Such a shift 1) enhances the capacity of courts to address claims of historical injustice, 2) leads courts to focus on the religious practices of groups rather than individuals, and 3) increases the pressure on courts to assess the authenticity of religious beliefs and practices. These implications lead to significant challenges for public institutions, which are discussed in the final section of the paper.

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 categoriesScience and technology studies
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 score0.861
Threshold uncertainty score0.999

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 studies0.0010.003
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 head0.043
GPT teacher head0.388
Teacher spread0.345 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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