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Record W2738040249 · doi:10.1007/978-1-137-34418-2

The Sustainable Built Environment

2015· book· en· W2738040249 on OpenAlexfundno aff
Begüm Sertyeşilışık, Ahmed Al Shamma'a

Bibliographic record

VenueBloomsbury Publishing Plc eBooks · 2015
Typebook
Languageen
FieldEnvironmental Science
TopicSustainable Development and Environmental Policy
Canadian institutionsnot available
FundersDivision of Materials ResearchUniversity of Toronto ScarboroughLos Alamos National LaboratorySmithsonian Conservation Biology InstituteUniversity of GeorgiaUniversity of Illinois at Urbana-ChampaignUniversität StuttgartUniversitat de LleidaUniversity of PennsylvaniaInternational Institute for Carbon-Neutral Energy Research, Kyushu UniversityUniversität Duisburg-EssenInstitut National de la Recherche AgronomiqueUniversity of HaifaImperial College LondonUniversity of TorontoCommonwealth Scientific and Industrial Research OrganisationOrta Doğu Teknik ÜniversitesiRijksuniversiteit GroningenUniversity of EdinburghUniversity of East AngliaDirectorate for Biological SciencesLandbúnaðarháskóli ÍslandsUniversity of ExeterU.S. Geological SurveyInstitució Catalana de Recerca i Estudis AvançatsGeorge Mason UniversityYork UniversityLeibniz-GemeinschaftTel Aviv UniversityNational Institute of Advanced Industrial Science and TechnologyNational Oceanic and Atmospheric AdministrationUniversity of Technology SydneyBundesanstalt für Materialforschung und -PrüfungKungliga Tekniska HögskolanClemson UniversityU.S. Environmental Protection AgencyUniversity of OxfordUniversity of VirginiaCarnegie Mellon UniversityNorth Carolina State UniversityUniversity of BernTongji UniversitySmithsonian InstitutionU.S. Department of EnergyVirginia Polytechnic Institute and State UniversityFP7 International CooperationHáskóli ÍslandsCity University of New YorkLunds UniversitetNorth Dakota State University
KeywordsProcurementSustainabilityBusinessBuilt environmentEnvironmental planningEnvironmental resource managementEnvironmental economicsArchitectural engineeringEngineeringCivil engineeringGeographyEnvironmental scienceEconomicsEcologyMarketing

Abstract

fetched live from OpenAlex

The text adopts an interdisciplinary approach to address the huge challenges in creating a sustainable built environment. In a broad survey of critical issues it assesses procurement, cost modelling and management, sustainable buildings, low and zero carbon technologies, sustainability in utilities, and the law.

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)0.000
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.034
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0340.017

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 head0.014
GPT teacher head0.207
Teacher spread0.193 · 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

Citations3
Published2015
Admission routes1
Has abstractyes

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