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Record W2784769343 · doi:10.11575/prism/5409

Obligations of Faith: Understanding the Place of Religion in the Context of Canadian Multiculturalism

2018· dissertation· en· W2784769343 on OpenAlexaboutno aff
Jenna Ferrey

Bibliographic record

VenueOpen MIND · 2018
Typedissertation
Languageen
FieldSocial Sciences
TopicReligious Tourism and Spaces
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismFaithContext (archaeology)Religious studiesSociologyEnvironmental ethicsGender studiesPolitical scienceTheologyPhilosophyLawGeographyArchaeology

Abstract

fetched live from OpenAlex

This dissertation explores how religion is understood in the context of Canadian multiculturalism. While Canadians seem to have a fairly high level of comfort with ethnic, or linguistic diversity, religion presents a stumbling block in both political and social contexts. We are taught it is impolite to talk about religion, and many Canadians are uncomfortable with these discussions. This makes the place of religion in the public sphere unclear. Realities of diversity and pluralism inevitably lead to instances of miscommunication, uncertainty and conflict. Multiculturalism serves as strong a political tool and policy. However, it serious challenges reveal limitations of multiculturalism as both a philosophy and a policy, particularly as it pertains to religion. An appeal to Charles Taylor’s understanding of secularism, which asserts that no particular position of belief or unbelief is privileged and that all are equally contestable, serves as the definition from which our conceptual and legal tools can be most effective. Reasonable accommodation and the politics of recognition have become the primary methods of understanding and negotiating religious diversity in Canada. While both of these notions are ultimately flawed, this dissertation argues that they have utility insofar as they are tempered with a Levinasian commitment to the other, and an openness to narrative and dialogue. Cultural and religious diversity are simply realities in the increasingly globalised world and it is important that we have strong philosophical foundations that allow for pragmatic and effective methods of problem solving and conflict resolution.

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)0.008
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.219
Threshold uncertainty score0.906

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0450.043
Scholarly communication0.0130.007
Open science0.0030.008
Research integrity0.0030.005
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 head0.072
GPT teacher head0.350
Teacher spread0.278 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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