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Record W2975310934 · doi:10.69970/gjlhd.v7i1.1172

'Doing Her Time': A Human Rights Analysis of Overcrowding in Brisbane Women's Correctional Centre

2019· article· en· W2975310934 on OpenAlexaboutno aff
Erin Leach

Bibliographic record

VenueGriffith journal of law and human dignity. · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsnot available
Fundersnot available
KeywordsOvercrowdingHuman rightsCriminologySociologyMedia studiesPolitical scienceLaw

Abstract

fetched live from OpenAlex

At the end of 2016, the Queensland Ombudsman released his report ‘Overcrowding at Brisbane Women’s Correctional Centre’. This investigation, alongside reports from the Anti-Discrimination Commission Queensland and Crime and Corruption Commission Queensland reveal that, despite the best efforts of Queensland Correctives Services, there are a number of potential human rights violations that have arisen within Brisbane Women’s Correctional Centre as a result of ongoing overcrowding. As of 27 February 2019, Queensland has become the third Australian state or territory to pass a human rights Act, 14 years after the Australian Capital Territory introduced the Human Rights Act 2004, and 12 years after Victoria introduced the Charter of Human Rights and Responsibilities Act 2006. In 2019, Australia remains to be the only Western democracy that is yet to introduce a national Act or bill of human rights. This article will consider the potential violations of female prisoners’ human rights inside Queensland’s largest female correctional facility, drawing on case law from Canada, Scotland, and the ECtHR to discuss their potential for recourse under Queensland’s new Human Rights Act 2019.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.219
Teacher spread0.206 · 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.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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