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Record W2982294728 · doi:10.1017/glj.2019.74

A Tale of Two (Diverse) Countries: Religious Diversity in Canada and Singapore

2019· article· en· W2982294728 on OpenAlexaboutno aff
Arif Jamal, Daniel Wong Sheng Jie

Bibliographic record

VenueGerman Law Journal · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicReligious Freedom and Discrimination
Canadian institutionsnot available
Fundersnot available
KeywordsPluralism (philosophy)SecularismFreedom of religionConstitutionDiversity (politics)Political scienceReligious freedomReligious diversityCharterSociologyLiberalismEthnic groupCultural diversityMinority rightsLawEnvironmental ethicsEpistemologyHuman rightsEthnologyEconomic freedomPoliticsPhilosophy

Abstract

fetched live from OpenAlex

Abstract Both Canada and Singapore express support for—and have the reality of being—multi-cultural, multi-ethnic, and multi-religious; and both jurisdictions have an avowed commitment to the freedom of religion. Yet, this commitment expresses itself in different ways in these two contexts. Although both the Canadian Charter of Rights and Freedoms and the Singaporean Constitution guarantee the freedom of religion, juridical definitions of what this freedom means may differ quite profoundly. This Article explores and analyzes these two different environments that nonetheless share important features. We argue that the approaches of Singapore and Canada do not fall simply into the categories of being “liberal” or “illiberal,” but instead invite reflection and reconsideration on the concepts of pluralism, secularism, and liberalism in interesting ways. This Article thus highlights the significance of contextual factors in understanding the ways in which religious diversity is dealt with, particularly in Canada and Singapore, but also more generally.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score0.531

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0270.008
Scholarly communication0.0060.001
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.267
Teacher spread0.255 · 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 designQualitative
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

Citations2
Published2019
Admission routes1
Has abstractyes

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Same venueGerman Law JournalSame topicReligious Freedom and DiscriminationFrench-language works237,207