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Record W1965466455 · doi:10.1139/l04-102

Assessing the performance of sustainable technologies for building projects

2005· article· en· W1965466455 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2005
Typearticle
Languageen
FieldEngineering
TopicSustainable Building Design and Assessment
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsWork (physics)Emerging technologiesSustainable designGovernment (linguistics)BusinessIdentification (biology)SustainabilityEnvironmental economicsProcess managementRisk analysis (engineering)EngineeringComputer scienceEconomics

Abstract

fetched live from OpenAlex

At present, the performance of sustainable technologies in buildings is generally not assessed holistically, but rather from a primarily single issue perspective, e.g., only financially or environmentally. Such an approach is limited in that it ignores the interaction of the technologies within the physical facility itself as expressed through life cycle costs, the impact on the surrounding environment, design objectives of the project and its stakeholders whose value systems may conflict. This work identifies the primary cause-and-effect relationships of selected sustainable building technologies and illustrates elements of a framework for the systematic assessment of their performance from an environmental, social, economic, and technical perspective. Rooftop garden technology is used to demonstrate application of the framework. The primary goal of this work is to improve the understanding and decision-making capabilities of the building industry and government when faced with decisions regarding investment and policy regarding sustainable building technologies. A secondary goal is to identify knowledge gaps in our understanding of sustainable technologies.Key words: risk identification, sustainable technology, knowledge management, infrastructure projects, sustainable buildings.

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.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score0.469

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.226
Teacher spread0.216 · 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