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Record W7134002938 · doi:10.3138/9781487531935

Indigenous Spiritualities and Religious Freedom

2025· book· W7134002938 on OpenAlexaboutno aff
Jeffery Hewitt, Beverly Jacobs, Richard Moon

Bibliographic record

VenueUniversity of Toronto Press eBooks · 2025
Typebook
Language
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsSpiritualitiesIndigenousSpiritualityReligious freedomCharterFreedom of religionIndigenous rights

Abstract

fetched live from OpenAlex

Indigenous Spiritualities and Religious Freedom investigates the complex relationship between Indigenous legal orders and Canadian law, emphasizing the richness of Indigenous spiritual practices alongside their historical and ongoing suppression by the Canadian state. It critically examines the role and limitations of the Canadian Charter of Right’s section 2(a), which guarantees freedom of religion, in protecting the spiritual lives of Indigenous communities. The book highlights the holistic nature of Indigenous spiritual beliefs, which view the spiritual as immanent and closely tied to land and specific locations. The book reveals how, by contrast, the Anglo-American conception of religious freedom often separates spiritual and religious matters from civic and political concerns, and so fails to provide meaningful protection for Indigenous cultural and spiritual practices. Many essays in this collection propose alternative approaches to the relationship between Canadian law and Indigenous legal orders, particularly regarding Indigenous spiritual practices. Ultimately, Indigenous Spiritualities and Religious Freedom reveals the challenges – and perhaps the futility – of seeking significant protection for Indigenous spiritual practices within the existing framework of religious freedom.

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.434
Threshold uncertainty score0.862

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.008
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.014
GPT teacher head0.242
Teacher spread0.228 · 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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueUniversity of Toronto Press eBooks→Same topicIndigenous Health, Education, and Rights→French-language works237,207→