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Record W2998248715 · doi:10.1111/imig.12685

Immigration and Settler‐Colonies Post‐UNDRIP: Research and Policy Implications

2019· article· en· W2998248715 on OpenAlexafffundabout
Yasmeen Abu‐Laban

Bibliographic record

VenueInternational Migration · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Alberta
FundersCanada Research Chairs
KeywordsColonialismSolidarityIndigenousPolitical scienceImmigrationDivergence (linguistics)Political economyPoliticsConvergence (economics)Development economicsSociologyEthnologyEconomic growthLawEconomics

Abstract

fetched live from OpenAlex

Abstract It is now common to identify a policy convergence around migration which is eroding the longstanding distinction made in the migration literature between “traditional” countries of immigration (like Canada, Australia, New Zealand and the United States) and other Western states. Taking the United Nations Declaration on the Rights of Indigenous Peoples as instructive, this article focusses on the case of Canada, arguing that its settler‐colonial foundation has impacted and continues to impact three areas relevant to the comparative study of migration: 1) national discourse; 2) land and forms of social power; and 3) politics and forms of solidarity. The implications of settler‐colonialism for the study of international migration are broader than the case of Canada and suggest the need to link considerations of Indigeneity systematically in migration studies, and to address the particularities of settler‐colonial states in relation to other Northern states by being attuned to “divergence within convergence.”

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)0.004
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.199
Threshold uncertainty score0.395

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0060.009
Scholarly communication0.0070.003
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.000

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 head0.029
GPT teacher head0.400
Teacher spread0.371 · 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 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

Citations15
Published2019
Admission routes3
Has abstractyes

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