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Record W2900827884 · doi:10.1071/aj12048

A roadmap for community and investor satisfaction from unconventional gas development

2013· article· en· W2900827884 on OpenAlexaff
Barry A. Goldstein, Anthony Hill, M. Malavazos, Sandra Menpes, Alexandra Wickham, Michael Jarosz, Dominic Pepicelli, David Cockshell, Elinor Alexander, Mieka Webb, James Coda

Bibliographic record

VenueThe APPEA Journal · 2013
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsCentre for Excellence in Mining Innovation
Fundersnot available
KeywordsRevenueGovernment (linguistics)BusinessCompetition (biology)CommonwealthState (computer science)FinanceEconomicsPolitical science

Abstract

fetched live from OpenAlex

If a fraction of the national potential to produce unconventional gas is realised, then Australia will benefit: security of domestic and export gas supplies for decades to come; supply-side competition for decades to come; improved balance of trade and transport fuel security as Australia’s supplants imports with gas-based transport fuel; billions of dollars invested in environmentally sustainable projects; thousands of jobs; considerable royalties and tax for revenues public good; and, world-class intellectual property that can be converted into export services and equipment. Given these drivers, the SA State Government convened a Roundtable for Unconventional Gas Projects in October 2010. Participating in this roundtable are a total of 260 organisations plus individuals, including: peak representative bodies focused on economic, social, and natural environment outcomes; and, companies, universities, and key agencies from all state, NT, and commonwealth governments. This roundtable informed a Roadmap for Unconventional Gas Projects in South Australia that was published in December 2012. The objectives of this roadmap are to credibly inform industry strategies, government policies, and public perceptions. In particular, this roadmap explains how people and enterprises potentially affected by unconventional gas operations are given information and time to draw considered views so their rights to object in part or full to activity—and location-specific land access—are supported. This will facilitate the efficient, profitable, and welcomed deployment of capital, technologies, and infrastructure for the commercialisation of unconventional gas. This extended abstract details the findings of this roadmap.

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)0.026
metaresearch head score (Gemma)0.031
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.085
Threshold uncertainty score0.284

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.031
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.002
Science and technology studies0.0090.005
Scholarly communication0.0220.017
Open science0.0040.037
Research integrity0.0210.018
Insufficient payload (model declined to judge)0.0850.018

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 head0.032
GPT teacher head0.270
Teacher spread0.238 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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