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Record W2475791451

Indian Act By-Laws: A Viable Means for First Nations to (Re)Assert Control Over Local Matters Now and Not Later

2016· article· en· W2475791451 on OpenAlexaffabout
Naiomi Metallic

Bibliographic record

VenueeYLS (Yale Law School) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsDalhousie University
Fundersnot available
KeywordsLawJurisdictionMandatePolitical scienceFederal jurisdictionGovernment (linguistics)Statutory interpretationPaceIndian countryNegotiationPower (physics)Statutory lawGeography
DOInot available

Abstract

fetched live from OpenAlex

Section 81 in the Indian Act, RSC 1985, c I-5, contains a broad range of subject matters over which Band Councils may pass by-laws. To date, this provision has been underutilized by most First Nation governments. One of the main reasons for this relates to the fact that, for over a hundred years, the Indian Act gave the federal government the power to disallow any such by-laws and Canada historically took a narrow view of the expanse of the Section 81 by-law powers and exercised its disallowance power broadly. Recent amendments to the Indian Act, however, have repealed this disallowance power, giving Bands greater freedom to pass by-laws. Nonetheless, the validity of such by-laws will continue to be subject to review by the courts. This paper explores the modern interpretation and constitutional principles that will inform the determination of validity of such by-laws and concludes that such principles mandate that the by-law powers should be interpreted expansively and include First Nation jurisdiction over local matters on reserve, including the provision of essential services. The author argues that First Nations should seriously explore using the Indian Act by-laws in the manner proposed, even though such bylaws have often been denigrated as only a ‘delegated’ and not an inherent form of self-government jurisdiction. This is so because of the slow pace of self-government negotiations and the urgent need for change in the manner in which key essential services are currently provided on First Nations reserves.

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)0.008
metaresearch head score (Gemma)0.017
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 score0.940
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0070.015
Scholarly communication0.0130.007
Open science0.0030.007
Research integrity0.0080.011
Insufficient payload (model declined to judge)0.0080.004

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 head0.257
Teacher spread0.246 · 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

Citations1
Published2016
Admission routes2
Has abstractyes

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