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Record W2804128508 · doi:10.1080/13504630.2018.1473154

Immigration, anti-racism, and Indigenous self-determination: towards a comprehensive analysis of the contemporary settler colonial

2018· article· en· W2804128508 on OpenAlexaff
Soma Chatterjee

Bibliographic record

VenueSocial Identities · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsYork University
Fundersnot available
KeywordsIndigenousColonialismSociologySovereigntyPoliticsRacismImmigrationNationalismGender studiesEconomic JusticePolitical economyEnvironmental ethicsPolitical scienceLawEcology

Abstract

fetched live from OpenAlex

Anti-racist attempts to conceptualize Indigenous decolonial justice are preoccupied with the contested relationship between immigrant settlement and Indigenous self-determination. In the process, an ethically and politically driven practice of implicating immigrants onto the settler colonial project has emerged. Paying particular attention to the emerging concept of ‘immigrant settlerhood’ as a sign of severing of political economic considerations from theories of settler nationalism, I advocate for a comprehensive and concrete analysis that does not lose sight of the capitalist colonial project of simultaneous dispossession (of Indigenous people) and precarious incorporation/resettlement (of immigrants). Next, since notions of sovereignty primarily enact the conditions for exploitation of immigrants and impale them onto the settler project via anti-racist claims, I propose ‘no border’ politics as a conceptual tool for confronting settler colonialism. Finally, considering the centrality of land/place in Indigenous self-determination, I reflect on the possibility of a ground between Indigenous rootedness and diasporic placelessness. This essay thus makes an attempt to conceptualize an anti-racist politics that could meaningfully respond to the settler-colonial project of simultaneous recruitment/resettlement (of immigrants) and dispossession (of Indigenous people) without casting social justice demands of Indigenous peoples and immigrants as inherently oppositional.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.023
Scholarly communication0.0070.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.320
Teacher spread0.299 · 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

Citations66
Published2018
Admission routes1
Has abstractyes

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