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Record W7110914545 · doi:10.3316/agispt.20230808092860

Indigenous Rights in Freshwater:Mapping the Contested Space in Australia, New Zealand and Canada

2023· article· en· W7110914545 on OpenAlexaboutno aff

Bibliographic record

VenueUWA Profiles and Research Repository (University of Western Australia) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousJurisdictionIndigenous rightsAssertionContext (archaeology)Corporate governance

Abstract

fetched live from OpenAlex

Indigenous water rights are emerging as a critical contemporary issue in many countries. In Australia, New Zealand and Canada legal progress in this field has been slow, expensive and selectively dispute driven - and policy progress has been piecemeal, fragile, and often focused on procedure over substance. Yet the socio-political context for consideration of these issues has changed – particularly through the ongoing development of international Indigenous rights standards, the strengthening of local Indigenous voices, and improving public understanding of the issues. A common thread is the resurgence of Indigenous laws and knowledges – which has produced some renaissance in Australian native title doctrine, a re-framing of questions in New Zealand in terms of Māori laws and governance rights, and some ‘occupation’ of recognition space in Canada through the assertion of jurisdiction and traditional legal authority. These are potentially significant developments as regards the contested space of freshwater. Each opens new opportunities for Indigenous voices to be better heard and understood.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score0.533

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.012
Science and technology studies0.0110.010
Scholarly communication0.0070.003
Open science0.0020.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.087
GPT teacher head0.318
Teacher spread0.231 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2023
Admission routes1
Has abstractyes

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