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Record W2905436848 · doi:10.4324/9781315294537-3

Australia: The East Coast model (with New South Wales as the principal legislation)

2017· book-chapter· en· W2905436848 on OpenAlexaboutno aff
Andrew Burr, Anne Eckenroth, Ruta Kersyte, Kesarin Jaitham

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicCoastal and Marine Management
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationPrincipal (computer security)GeographyEast coastPolitical sciencePhysical geographyLawComputer scienceComputer security

Abstract

fetched live from OpenAlex

The West Coast model is adopted by Western Australia and the Northern Territory, with some differences as between the several jurisdictions. The most important recommendation was for legislation for a construction trust, similar to that in many Canadian Provinces and States in the United States. As in the case of other Australian legislation, the Security of Payment Act identifies its object, and is able to recover, progress payments in relation to the carrying out of that work and the supplying of the goods and services. The legislation aimed to provide a statutory right to ensure security of payment in the building and construction industry introducing a rapid statutory adjudication process to resolve payments disputes. The East Coast model creates a "dual payment system", which creates a statutory payment system alongside any contractual payment regime. Similar to the East Coast model, the West Coast model provides for an interim payment regime, leading to a rapid adjudication process.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.078
Threshold uncertainty score0.155

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0250.012

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 head0.048
GPT teacher head0.237
Teacher spread0.189 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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