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Record W3038734034 · doi:10.24135/dcj.v2i1.16

Toward Sovereign Indigenous Justice: On Removing the Colonial Straightjacket

2020· article· en· W3038734034 on OpenAlexaffabout
Michaela McGuire, Ted Palys

Bibliographic record

VenueDecolonization of Criminology and Justice · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsIndigenousSovereigntyColonialismEconomic JusticePolitical scienceLawPoliticsEcologyBiology

Abstract

fetched live from OpenAlex

Canada has oppressed Indigenous peoples capacity for true sovereignty through colonialism, genocide and attempted assimilation. This devastation manifests in the disproportionate social ills facing Indigenous peoples and their overrepresentation at all levels of the imposed criminal justice system (CJS). Trauma and internalized colonialism have constrained the capacity of Indigenous Nations to reclaim their place in the world as self-governing peoples. Canada has attempted to ‘fix’ this problem through creating parallel systems, trying to fit ‘Indigenous’ conceptions of justice into existing systems, and problematically adopting restorative justice as synonymous with Indigenous justice. The rhetoric of reconciliation and apology mask the continual genocidal, assimilative goals of the state. With these caveats in mind, the need to reject internalized colonialism and develop capacity for the development of sovereign Indigenous justice systems will be examined.

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)0.007
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 score0.507
Threshold uncertainty score0.991

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0230.050
Scholarly communication0.0090.007
Open science0.0010.009
Research integrity0.0020.008
Insufficient payload (model declined to judge)0.0030.000

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 head0.124
GPT teacher head0.344
Teacher spread0.220 · 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

Citations9
Published2020
Admission routes2
Has abstractyes

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