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Record W2986171445 · doi:10.5663/aps.v8i1.29347

Indigenous Peoples in Canadian Migration Narratives: A Story of Marginalization

2019· article· en· W2986171445 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venueaboriginal policy studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsIndigenousScholarshipImmigrationNarrativeInvisibilityColonialismGender studiesPolitical scienceSociologyPolitical economyLawEcology

Abstract

fetched live from OpenAlex


 
 
 An increasing number of migration scholars have been critical of the narrative of Canada’s successful immigration history, because of its neglect of colonial and discriminatory practices against Indigenous peoples and racialized minorities. This paper seeks to engage critically with this scholarship by insisting on the distinct places Indigenous peoples have in Canada’s immigration history and migration narratives. By comparing various administrative programs and policies on immigration, the paper identifies the continuous marginalization and invisibility of Indigenous peoples over time. A closer look at the contemporary employment conditions of both groups highlights the administrative process of making Indigenous peoples invisible and disconnected from the wage economy, unlike migrants who are explicitly constructed as connected to it. The paper concludes with a call for further critical migration scholarship, with the examination of the history of Indigenous-settler-immigrant entanglements over time.
 
 

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.820
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.012
GPT teacher head0.318
Teacher spread0.306 · 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