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Record W1017052957

"Save the Barrier Reef" from 1967 to 2013: a forty six year old campaign that changed the Great Barrier Reef

2014· article· en· W1017052957 on OpenAlexaboutno aff
Maxine Newlands, Theresa Petray, Rohan Lloyd

Bibliographic record

VenueResearchOnline at James Cook University (James Cook University) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCommonwealth, Australian Politics and Federalism
Canadian institutionsnot available
Fundersnot available
KeywordsReefGreat barrier reefQuarter (Canadian coin)Political scienceGeographySociologyFisheryArchaeology
DOInot available

Abstract

fetched live from OpenAlex

In 2013 the Great Barrier Reef hit the headlines with political debates on port expansion, dredging, UNESCO World heritage status, and tourism. From Greenpeace to conservationist Bob Irwin and octogenarian activist June Norman, environmentalists carried out media tours the length of Queensland in a campaign to 'Save the Reef'. Save the Reef '2013' came 46 years after the first campaign. In 1967 conservationist and philanthropist, John Busst, with the support of the Wildlife Preservation Society of Queensland, Queensland Littoral Society (now Australian Marine Conservation Society, AMCS) and then Prime Minister, Harold Holt, successfully prevented the Reef from being mined. The first ever 'Save the Reef' campaign successfully halted a Cairns sugar farmer's application to mine Ellison Reef for limestone. The argument for mining was that the reef was dead following a crown-of-thorns outbreak, which activists countered with scientific discourse and questions of ownership and intrinsic value. Based on archival research and impressions from a group interview with key environmental activists of the time, this paper will be an initial exploration of the Save the Reef campaign. We will examine how the 1967 campaign engaged with the media to situate the campaign in both global and local contexts. Through this historical lens, we will pose questions about the media strategies of today's environmental campaigns.

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)0.001
metaresearch head score (Gemma)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.374
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0000.001
Open science0.0030.001
Research integrity0.0000.001
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 head0.043
GPT teacher head0.277
Teacher spread0.234 · 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 designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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