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Record W61821951

Green leases : becoming a reality

2010· article· en· W61821951 on OpenAlexaboutno aff
Sharon Christensen, Bill Duncan

Bibliographic record

VenueQUT ePrints (Queensland University of Technology) · 2010
Typearticle
Languageen
FieldEngineering
TopicSustainable Building Design and Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsLeaseCommonwealthGovernment (linguistics)CertificateEfficient energy useStatutory lawPublic administrationLawBusinessFinanceEngineeringPolitical scienceComputer science
DOInot available

Abstract

fetched live from OpenAlex

Only a few years ago there were only a handful of buildings in Australia, mainly leased by or from the Commonwealth Government to which a green lease might have application. Now with the passing of the Building Energy Efficiency Disclosure Act 2010 (Cth) all commercial office premises in excess of 2000 square metres have 12 months from 1 November 2010 to obtain a Building Energy Efficiency Certificate as part of Stage 1 of the Federal Government’s National Framework for Energy Efficiency This significant change has focused attention on changes required to the conditions of leases where the building has a NABERS rating. This article considers material from the United Kingdom, the United States and Canada where there are similar policy changes in play and makes suggestions as to how certain clauses of a standard lease of a commercial office block may be altered to meet this new regime.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score0.526

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.212
Teacher spread0.202 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations7
Published2010
Admission routes1
Has abstractyes

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