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Record W2780654861 · doi:10.14288/1.0362400

Green building construction practices : review of environmental management from the contractor perspective in the Canadian industry

2017· article· en· W2780654861 on OpenAlexaffabout
Saleh de la Garza

Bibliographic record

VenueOpen Collections · 2017
Typearticle
Languageen
FieldEngineering
TopicSustainable Building Design and Assessment
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPerspective (graphical)BusinessConstruction industryOperations managementEngineeringConstruction engineeringComputer science

Abstract

fetched live from OpenAlex

Green building is a practice applied to the whole life cycle of a building, which means its environmental performance is not only defined by design, but also by the management processes in the construction, operation, and maintenance of a building. Over the past 10 years, research in green buildings has been increasing, mostly focusing on the design and energy efficiency. Contractors now represent a critical role in sustainability, but they have received less support and attention than the design community. This thesis aims to conduct research in environmental sustainability by focusing on three main areas: environmental practices, project management, and organizational perspective. While contractors in Canada are focusing on the implementation of green practices mainly established by LEED; a main problem is that the concept of "green" remains unclear and ambiguous in construction practices. This research started with the identification of green building construction practices categories applicable to contractors by reviewing and comparing green building standards and literature review. Next, this research considered the management perspective by conducting semi-structured interviews in four construction organizations in order to document how LEED is integrated into project management and what issues companies are facing in the implementation of green construction practices. In addition, this thesis identified best practices in how these companies are supporting the reduction of environmental impacts during the construction phase. Overall, this thesis collected several green categories that can serve as a guidance for Canadian contractors to develop specific practices within these categories and advance their environmental sustainability, along with four case studies to document LEED construction management and an overview of the organizational tools used by companies for their environmental management.

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)0.010
metaresearch head score (Gemma)0.015
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: Review · Consensus signal: Review
Teacher disagreement score0.078
Threshold uncertainty score0.544

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0150.042
Science and technology studies0.0050.004
Scholarly communication0.0060.003
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.294
Teacher spread0.270 · 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
GenreReview

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
Published2017
Admission routes2
Has abstractyes

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