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Record W2907756370 · doi:10.26522/ssj.v12i2.1697

Repairing Broken Relations by Repairing Broken Treaties: Theorizing Post-Colonial States in Settler Colonies

2018· article· en· W2907756370 on OpenAlexaffvenue
Xavier Scott

Bibliographic record

VenueStudies in Social Justice · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsYork University
Fundersnot available
KeywordsSovereigntyIndigenousColonialismLawSociologyPolitical sciencePolitical economyPoliticsEcology

Abstract

fetched live from OpenAlex

This article examines the British colonial theft of Indigenous sovereignty and the particular obstacles that it presents to establishing just social relations between the colonizer and the colonized in settler states. In the first half, I argue that the particular nature of the crime of sovereign theft makes apologies and reparations unsuitable policy tools for reconciliation because Settler societies owe their very existence to the abrogation of Indigenous sovereignties. Instead, Settler states ought to return sovereignty to the land’s Indigenous peoples. In the second half of this paper, I take up some of the practical questions of how this might be done and anticipate a number of objections. Giving up sovereignty would not mean dispossessing the millions of colonists who currently reside in these countries of their homes and property – but it does mean rethinking the constitutional makeup of a country and how that serves to benefit the different peoples who make their homes there.

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)0.006
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: none
Teacher disagreement score0.943
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0140.047
Scholarly communication0.0090.010
Open science0.0020.007
Research integrity0.0040.006
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 head0.027
GPT teacher head0.376
Teacher spread0.349 · 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

Citations3
Published2018
Admission routes2
Has abstractyes

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