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Record W3171933413 · doi:10.1080/10383441.2020.1861805

The perils of positivism in the NT Royal Commission into youth detention: the case for a post-positivist frame for First Nations justice

2020· article· en· W3171933413 on OpenAlexaboutno aff
Thalia Anthony

Bibliographic record

VenueGriffith Law Review · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsLawCommissionPositivismEconomic JusticeGovernment (linguistics)Political scienceSociologyInternational lawRoyal CommissionCriminal justicePublic administrationCriminology

Abstract

fetched live from OpenAlex

The Royal Commission into the Detention and Protection of Children in the Northern Territory (2016–17) was set up by the Australian Government following a national television broadcast of guards inflicting tear gas, physical attacks, mechanical restraint chairs, hooding and indefinite segregation on First Nations children. Through an examination of the Royal Commission's establishment, proceedings and outcomes, this article identifies how First Nations people were not afforded justice. Legal positivism tainted public hearings through adversarial proceedings and the cross-examination of First Nations young people by a hostile Northern Territory (NT) Government. First Nations witnesses were examined in court houses and convention centres according to predetermined questions. A wide berth was given to guards and managers to justify violence in youth detention. Lines of inquiry were directed to reforming, rather than transforming, youth justice and state-centred approaches. In implementing the recommendations, the NT Government failed to listen to the calls of First Nations witnesses for self-determination and decarceration. Consequently, violence in youth detention has continued unabated since the Royal Commission. This study has international significance and broad lessons for inquiries directed to First Nations justice. It demonstrates how positivist frameworks undermine truth-telling processes and fail to promote structural change.

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)0.091
metaresearch head score (Gemma)0.070
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.986
Threshold uncertainty score0.480

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0910.070
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0140.137
Scholarly communication0.0190.016
Open science0.0030.012
Research integrity0.0140.026
Insufficient payload (model declined to judge)0.0020.000

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 head0.036
GPT teacher head0.339
Teacher spread0.303 · 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.

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
Published2020
Admission routes1
Has abstractyes

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