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Record W2790194881

Indigenous recognition: revisiting the recommendations for a First Nations dual-citizenship in Canada

2015· article· en· W2790194881 on OpenAlexaboutno aff
Andrea Gallagher

Bibliographic record

VenueMspace (University of Manitoba) · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsCitizenshipIndigenousPolitical scienceDual (grammatical number)GeographyEthnologyGender studiesHistorySociologyLinguisticsPoliticsLaw
DOInot available

Abstract

fetched live from OpenAlex

This thesis explores First Nations peoples’ relationship with the Canadian government and how the issue of citizenship has played into this relationship. This thesis analyses citizenship theory as it relates to First Nations peoples through an examination of prominent theorists of Canadian politics and Indigenous scholars. Arguments for unitarian citizenship, pluralist forms of citizenship and Indigenous nationalism are examined. Issues of participation, identity and self-determination are explored as they relate closely to the debate over the level of inclusion in Canadian citizenship. The Royal Commission on Aboriginal Peoples recommends a dual-citizenship model, to be implemented by the Canadian government with consultation and input from First Nations. However, this recommendation has not been pursued, and the relationship between First Nations and the Canadian government is as tense as ever. I conclude that a thoughtful re-examination of the RCAP dual-citizenship model is necessary if we are to move towards reconciliation in Canada.

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)0.020
metaresearch head score (Gemma)0.042
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 score0.269
Threshold uncertainty score0.848

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.042
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0400.023
Scholarly communication0.0170.008
Open science0.0070.008
Research integrity0.0100.020
Insufficient payload (model declined to judge)0.0070.000

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 head0.053
GPT teacher head0.261
Teacher spread0.208 · 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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueMspace (University of Manitoba)→Same topicIndigenous Health, Education, and Rights→French-language works237,207→