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Record W4384696417 · doi:10.1177/20530196231186962

A tale of two rivers – Baaka and Martuwarra, Australia: Shared voices and art towards water justice

2023· article· en· W4384696417 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Anthropocene Review · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsUniversity of British Columbia
FundersAustralian Research Council
KeywordsIndigenousNarrativeEconomic JusticeTraditional knowledgeSociologyAction (physics)LawEnvironmental ethicsMedia studiesGeographyPolitical scienceArtEcologyLiterature

Abstract

fetched live from OpenAlex

Two of Australia’s iconic river systems, Baaka in New South Wales (NSW) and Martuwarra in Western Australia (WA), are described in a narrative that connects Indigenous custodianship, bio-physical features and art, and contrasts settler law with First Law to provide multiple ways of seeing the two river systems. Our narrative is a shared response to: (1) upstream water extractions that have imposed large costs on Baaka and its peoples; and (2) threats of water extractions and developments to Martuwarra. By scribing the voices of the two river systems, we have created a space to reimagine an emerging future that connects the past and present through the concept of ‘EveryWhen’, where First Law has primacy, and where art connects Indigenous knowledges to non-Indigenous understanding. Through a dialogue process with Indigenous knowledge holders, artists and water researchers, five action processes, or journeys, are identified to guide water decision making towards water justice.

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.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.484
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 studies0.0000.001
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 head0.044
GPT teacher head0.366
Teacher spread0.322 · 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