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Record W188420248 · doi:10.24043/isj.194

Bruny on the Brink: Governance, Gentrification and Tourism on an Australian Island

2006· article· en· W188420248 on OpenAlexvenueno aff
Rebecca Jackson

Bibliographic record

VenueIsland Studies Journal · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsnot available
Fundersnot available
KeywordsMainlandTourismGentrificationCorporate governanceSmall islandGeographyMainland ChinaSmall Island Developing StatesEconomic geographyEconomyDevelopment economicsPolitical scienceEconomic growthClimate changeEconomicsArchaeologyManagement

Abstract

fetched live from OpenAlex

This paper examines the influence of islandness on development and governance of Bruny Island (offshore from Tasmania, Australia’s only island state). While traditional economic activities, particularly agriculture, are in decline, tourism is increasingly important to the island economy. While some 600 people live on the island all-year-round; there are some 2,000 ratepayers, including holiday home owners. This location is being rapidly ‘discovered’ by people drawn from interstate and overseas to the island lifestyle, and this is leading to a process of gentrification, with consequences for islanders. Bruny Island’s local governing authority is based on the Tasmanian mainland and hence is another source of externally-driven change. Amidst these pressures, island community visioning can be an important source of resilience.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.295
Threshold uncertainty score0.586

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.004
Scholarly communication0.0020.001
Open science0.0000.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.033
GPT teacher head0.305
Teacher spread0.272 · 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

Citations29
Published2006
Admission routes1
Has abstractyes

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