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Record W3212288473 · doi:10.22215/etd/2018-13283

Land Claims and Liberal Modes of Governance: An Analysis of Post-Comprehensive Land Claims Institutions in Canada

2018· dissertation· en· W3212288473 on OpenAlexafffundabout
Joshua Lelievre

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous Peoples' Rights and Law
Canadian institutionsCarleton University
FundersPublic Works and Government Services Canada
KeywordsGovernmentalityIndigenousCorporate governanceNormativeThrough-the-lens meteringPolitical scienceSociologyColonialismPublic administrationLawLens (geology)PoliticsEconomics

Abstract

fetched live from OpenAlex

This thesis applies a governmentality/Foucauldian lens to the Comprehensive Land Claims (CLC) regime of governance in Canada.More specifically, I engage an interpretative-empirical analysis of the Nunavut Land Claim and to a lesser extent the Algonquin Agreement in Principle.The object of my research is to add to literature critical of land claims.I look to unpack and explore an underdeveloped area of the CLC regime -the impact of colonial liberal institutions in post-CLC Indigenous community.I argue that a governmentality lens can call into question the normative expectations for Indigenous communities that flow from CLCs.I owe a great debt to many, many individuals, including my family, partner, and faculty in the Law department at Carleton University.To begin, I would like to extend my sincere thanks and appreciation to all those that supported and contributed to this paper.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.833
Threshold uncertainty score0.966

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0120.009
Scholarly communication0.0060.001
Open science0.0010.003
Research integrity0.0010.001
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 head0.016
GPT teacher head0.292
Teacher spread0.276 · 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 designQualitative
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
Published2018
Admission routes3
Has abstractyes

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