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Record W2907571495 · doi:10.13169/statecrime.7.2.0251

“They Were Treating Me Like a Dog”: The Colonial Continuum of State Harms Against Indigenous Children in Detention in the Northern Territory, Australia

2018· article· en· W2907571495 on OpenAlexfundno aff
Thalia Anthony

Bibliographic record

VenueState Crime Journal · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Conservation and Criminology Analyses
Canadian institutionsnot available
FundersAustralian GovernmentMcGill University
KeywordsColonialismIndigenousTortureSovereigntyState (computer science)LawCommissionCriminologyInjusticeHuman rightsPolitical sciencePrisonInternational lawState of exceptionSociologyPolitics

Abstract

fetched live from OpenAlex

The analytic lens of state crime can inform our understanding of the mistreatment of Indigenous children and young people in settler-colonial state institutions. Based on a critical analysis of the proceedings and findings of the Royal Commission into the Protection and Detention of Children in the Northern Territory (2016–2017), this article identifies state crimes of torture and abuse inflicted on Indigenous children in carceral and non-carceral institutions. These crimes breach international human rights laws but are more than a set of individual harms. They are also part of a pattern of ongoing structural violence that reasserts the settler-colonial state's sovereign position. This article identifies that the Royal Commission itself is complicit in reproducing state sovereignty. It argues that redressing state crimes against Indigenous children requires challenging the structural injustice of the settler-colonial state.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.965

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.286
Teacher spread0.258 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations16
Published2018
Admission routes1
Has abstractyes

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