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Record W4220733525 · doi:10.5663/aps.v10i1.29399

Determining the “Core of Indianness:” A Feminist Political Economy of NIL/TU,O v. BCGEU

2022· article· en· W4220733525 on OpenAlexaffvenueabout
Adam King, Veldon Coburn, Leah F. Vosko, Rebecca Hall, Olena Lyubchenko, Andie Noack

Bibliographic record

Venueaboriginal policy studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsToronto Metropolitan UniversityQueen's UniversityUniversity of OttawaYork University
Fundersnot available
KeywordsIndigenousJurisdictionPolitical scienceSupreme courtLawPoliticsSociologyTrade unionPolitical economyEconomics

Abstract

fetched live from OpenAlex

In light of Bill C-92, which establishes a framework for delegating child and family service provision to Indigenous communities, this article addresses the contested regulation of employment and labour relations in Indigenous social service workplaces. It approaches this subject by looking back at NIL/TU,O Child and Family Services Society v. B.C. Government and Service Employees’ Union, a case in which employees at a First Nations child and family services provider attempted to unionize. NIL/TU,O set in motion a legal battle over the jurisdiction of Indigenous labour relations that ultimately reached the Supreme Court of Canada in 2010. The SCC’s determined that the labours of the Indigenous workers at NIȽ TU,O Child and Family Services are a matter of provincial jurisdiction because they fall outside of the “core of Indianness,“ a contested legal concept used to designate federal legislative power over First Nations peoples. Using Indigenous feminisms and a feminist political economy approach, we argue that this decision rests on gendered appraisals – and, indeed, obfuscations – of social reproduction labour. Bill C-92 necessitates revisiting the case history in NIL/TU,O because of the ways in which it seems to conflict with the new Act. We suggest that the uncertainty surrounding jurisdiction over Indigenous labour has the dual potential of, on the one hand, being used strategically for exploitative or dis-possessive purposes, or, on the other hand, taken up as a opening for increased self-determination by Indigenous peoples.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.786
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.066
GPT teacher head0.421
Teacher spread0.355 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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
Published2022
Admission routes3
Has abstractyes

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