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Record W3089219159

Justice at the Edge: Hearing the Sound of Silence

2020· article· en· W3089219159 on OpenAlexaboutno aff
Kim Economides, Aaron Timoshanko, Leslie S. Ferraz

Bibliographic record

VenueUniversity of Southern Queensland ePrints (University of Southern Queensland) · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsnot available
FundersUniversity of New South Wales
KeywordsPersonhoodSilenceSociologyEconomic JusticeMainstreamAotearoaLawEnvironmental ethicsPolitical scienceAesthetics
DOInot available

Abstract

fetched live from OpenAlex

This article examines a novel emerging trend in the access to justice movement. This latest trend is best seen as a counter-wave - or rip current - that seeks to incorporate knowledge and experience found at the periphery of the legal system in order to advance the theory and practice that underpins access to justice. Drawing on recent legal developments pioneered in Aotearoa/New Zealand that grant personhood status to natural objects, we report on the Maori world view that treats natural objects in much the same way as respected family members. This new perspective is indicative of the counter-wave in action and illustrates how legal principles derived from the periphery - in this case rooted in the First Law of the Maori people - are being recognised and incorporated into the mainstream legal system, holding the potential to advance access to justice for First Nations peoples whilst also bringing other benefits to the wider society. Focusing primarily on Australia, Brazil and Canada, our aim is to highlight common signs of receptivity for granting natural objects personhood status, and to show how this converging trend could enrich both the quality and accessibility of justice in these and other jurisdictions.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.040
GPT teacher head0.232
Teacher spread0.192 · 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 designQualitative
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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