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Record W215039740

Respecting and Protecting the Sacred

2006· article· en· W215039740 on OpenAlexaffabout
Darlene Johnston

Bibliographic record

VenueeYLS (Yale Law School) · 2006
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMulticulturalismNorm (philosophy)Environmental ethicsSociologyDiversity (politics)Cultural diversityPolitical scienceAestheticsEpistemologyLawAnthropologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

In Canada, many citizens are justifiably proud of our country’s commitment to multiculturalism and respect for diversity. Cultural variations in language, art, law, and religion are not only tolerated but also celebrated. There is a growing appreciation that as human beings we share common, fundamental categories of experience, but that those experiences are mediated by and need to be understood in terms of our particular cultural contexts. Just as different cultures have different approaches to land and property, so too do traditions of sacredness vary. But respect for such variations, particularly as between Aboriginal peoples and newcomers to Canada, has hardly been the norm. Understanding traditions within their own frame of reference is key to establishing a respectful relationship. This paper draws upon oral traditions, archival history, and linguistics in an effort to promote intercultural understanding of the relationship between the Anishnaabeg and their sacred lands.

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)0.003
metaresearch head score (Gemma)0.004
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: Commentary · Consensus signal: none
Teacher disagreement score0.860
Threshold uncertainty score0.282

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0240.033
Scholarly communication0.0090.002
Open science0.0010.007
Research integrity0.0020.004
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 head0.028
GPT teacher head0.326
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
GenreCommentary

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

Citations16
Published2006
Admission routes2
Has abstractyes

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