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Record W4403082665 · doi:10.1080/2201473x.2024.2408140

Unravelling settler ideology: navigating treaty dynamics in settler-colonial contexts

2024· article· en· W4403082665 on OpenAlexaff
Rowland Keshena Robinson

Bibliographic record

VenueSettler Colonial Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsColonialismIdeologyTreatyDynamics (music)SociologyPolitical scienceEnvironmental ethicsEthnologyLawPoliticsPhilosophy

Abstract

fetched live from OpenAlex

Indigenous activism in North America often hinges on the conceptual apparatus of the treaty relationship between Indigenous peoples and the settler state to ground struggles waged in a wide array of political, cultural, and social sites. Yet, a persistent question lingers: Why do Indigenous activists continue to emphasize treaties, despite a history of broken promises by the settler state? This article scrutinizes the ideological role of treaties as a means of concealing the underlying systemic violence of settler colonialism through Marxist ideology critique. I challenge the notion that treaties can supply a solid foundation for decolonial justice, and further suggest that a heavy focus on treaties and rights-based discourse risks inadvertently offering an ideological alibi to the settler state and legitimizing its claims to sovereignty and territory. This deeply complicates struggles for reconciliation and justice within the socio-political context of settler colonialism, and there is an urgent need to encourage exploration of alternative strategies for achieving decolonial justice beyond the structures of settler colonialism.

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)0.012
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.724
Threshold uncertainty score0.549

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.004
Science and technology studies0.0320.054
Scholarly communication0.0140.009
Open science0.0020.010
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0050.000

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 head0.020
GPT teacher head0.319
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 designQualitative
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
Published2024
Admission routes1
Has abstractyes

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