Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.096 | 0.013 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".