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Record W7096662641

Commissioned by the Department of Canadian Heritage for the Ethnocultural, Racial, Religious, and Linguistic Diversity and Identity Seminar

2001· article· en· W7096662641 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsIdentity (music)Meaning (existential)Diversity (politics)PoliticsArgument (complex analysis)ColonialismCultural diversityCultural identity
DOInot available

Abstract

fetched live from OpenAlex

Available on-line in English and French at www.metropolis.net The views expressed in this paper do not necessarily reflect those of the Department of Canadian Heritage. 2Abstract This paper situates the discussion of the impact of religious diversity on the formation of Canadian identities within two contexts. The first is a brief account of the historical patterns of diversity characteristic of the establishment-type Christian denominations. The second examines the relationship of religions to the meaning of culture as constituted by the fields of ethics and aesthetics. The argument follows that the historic churches held a dominant cultural role in colonial and post-colonial Canada. As such, they contributed in a major way to the formation of the public discourse on social and political issues. In contemporary Canada, by contrast, the diasporic religious traditions, such as the Hindu, Buddhist, Muslim and Sikh, join with the marginalized historic traditions of Native peoples, Christians and Jews as voices among many others in the Canadian culture debates. Religions then are no longer dominant, but integral

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)0.002
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.276
Threshold uncertainty score0.922

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0100.002
Scholarly communication0.0040.001
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2760.016

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 head0.035
GPT teacher head0.333
Teacher spread0.298 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2001
Admission routes1
Has abstractyes

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