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Indigenous Courts

2020· reference-entry· en· W4239920631 on OpenAlexaboutno aff
Valmaine Toki

Bibliographic record

VenueOxford Research Encyclopedia of Criminology and Criminal Justice · 2020
Typereference-entry
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousNavajoPopulationImprisonmentLawPolitical scienceGenealogyCriminologySociologyHistoryDemography

Abstract

fetched live from OpenAlex

Abstract In many jurisdictions, including Australia, New Zealand, Canada, United States and across the Pacific, offending rates for Indigenous peoples continue to be disproportionate to population size. For example, in New Zealand, Māori comprise over half the male prison population yet constitute only 15% of the national population. In Canada and the United States, where Indigenous people constitute 3.6 and 1.7% of the population, respectively, imprisonment rates are also disproportionate. Notwithstanding attempts to address these statistics, the overrepresentation of Indigenous peoples in prisons continues. However, Te Kooti Rangatahi, a marae-based (traditional-setting) “Indigenous court” for youths, has demonstrated some initial success as a unique initiative. This “court” integrates tikanga Māori (Māori culture) into the judicial process, with the aim of facilitating the reconnection of young people with their culture and involving the wider community. Te Kooti Matariki, an Indigenous court for adults, employs tikanga but within a mainstream court. A comparative perspective with the Navajo Common Law and Navajo Nation Tribal Court system demonstrates that the inclusion of Indigenous concepts into Western legal systems is not novel and should not in and of itself prevent the extension of Te Kooti Rangatahi and Te Kooti Matariki’s 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesScience and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.924
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0080.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.003
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 head0.108
GPT teacher head0.396
Teacher spread0.288 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueOxford Research Encyclopedia of Criminology and Criminal JusticeSame topicIndigenous Health, Education, and RightsFrench-language works237,207