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Record W4416064278 · doi:10.60162/swamphen.11.18106

Rainbows amidst the rivers

2025· article· W4416064278 on OpenAlexaff
Philip Hayward, Christian Fleury

Bibliographic record

VenueSwamphen a Journal of Cultural Ecology (ASLEC-ANZ) · 2025
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLocale (computer software)ResidencePoliticsIdentity (music)MythologyPerceptionDemographics

Abstract

fetched live from OpenAlex

The far north-eastern corner of New South Wales (NSW), a region commonly referred to as either the Far North Coast or Northern Rivers, has a particular status within NSW, Australian and international social imaginaries on account of its rich environmental assets and the lifestyle and cultural characteristics commonly associated with it (typified by the lyrics to Kelly’s song that preface this article). The first named author’s extended residence in the region in 2000-2021 and participation in community groups and public forums indicated that these senses of place were shared, to varying extents, by its residents but are also juxtaposed with and/or opposed by others who have different senses of locale and region. This is unsurprising, as such perceptions are highly contingent on socio-cultural, political and spiritual inclinations, some of which can be more easily aligned with dominant regional identity projections than others. The concept of regionality is, itself, a complex and contingent one and this article explores these tensions and divergencies with regard to an area that has strong place mythologies and shifting demographics that are modifying these.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.379
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0020.001
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 head0.011
GPT teacher head0.247
Teacher spread0.237 · 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 designObservational
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
Published2025
Admission routes1
Has abstractyes

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