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Record W4412041316 · doi:10.1080/13698230.2025.2528390

Territorial justice as structural justice: settler colonialism and territorial rights theory

2025· article· en· W4412041316 on OpenAlexaffabout
Kaitie Jourdeuil

Bibliographic record

VenueCritical Review of International Social and Political Philosophy · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsQueen's University
Fundersnot available
KeywordsEconomic JusticeColonialismPolitical scienceSociologyLawCriminologyLaw and economics

Abstract

fetched live from OpenAlex

This paper challenges the dominant paradigm that territorial justice in settler-colonial states like Canada is a matter of distributive justice. Instead, it argues that theorists should embrace the dominant paradigm in Indigenous political thought and the critical theory that territorial justice is a matter of structural justice. This is because the structural paradigm focuses on how Indigenous and settler jurisdictions are constructed in relation to each other, and the conditions required to change this relationship. To make this argument, I highlight three worries for the distributive paradigm in settler-colonial states and show how a structural paradigm can address them. The first concerns the feasibility of implementing just distributions in contexts of structural injustice. The second concerns the distributive paradigm’s ability to describe how Indigenous and settler jurisdictions relate to each other. The third concerns how it justifies jurisdictional rights. I conclude by considering the new directions for territorial rights theory that the structural paradigm proposes.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.066
Threshold uncertainty score0.130

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.058
Scholarly communication0.0070.009
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.041
GPT teacher head0.417
Teacher spread0.376 · 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

Citations2
Published2025
Admission routes2
Has abstractyes

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