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Record W1551821446

Prioritizing Multiple Uses on Public Lands After Bear Lodge

2005· article· en· W1551821446 on OpenAlexfundno aff
Erik B. Bluemel

Bibliographic record

VenueBoston College environmental affairs law review · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
FundersYork University
KeywordsJurisprudenceNative americanLawPolitical scienceContext (archaeology)BabbittFederal courtSociologySupreme courtGeographyEngineeringEthnologyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

This Article analyzes the courts’ application of First Amendment jurisprudence to Native American cultural activities on federal land. The author concludes that the courts’ use of existing First Amendment law has been strained, especially with respect to Native American cultural practices on federal land. The Article analyzes Bear Lodge Multiple Use Association v. Babbitt within this context to conclude that First Amend­ment jurisprudence may not be the most appropriate legal construct for determining whether to allow or protect Native American cultural activities on federal land. Instead, the Article suggests that Native American practices are often best considered cultural, rather than religious, and as such, a First Amend­ment analysis, which has not been particularly favorable to Native American interests, would not apply. Applying a cultural lens to Native American practices, the Article concludes that federal land managers act well within their prescribed authority when they protect such activities.

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)0.004
metaresearch head score (Gemma)0.007
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: Empirical · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0110.007
Scholarly communication0.0080.006
Open science0.0020.005
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0110.001

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 head0.011
GPT teacher head0.202
Teacher spread0.192 · 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
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
Published2005
Admission routes1
Has abstractyes

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