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Record W3209369546 · doi:10.32920/ryerson.14664510.v1

Comparing Three Building Life Cycle Assessment Tools for the Canadian Construction Industry

2021· preprint· en· W3209369546 on OpenAlexaboutno aff
Hayley Cormick

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicSustainable Building Design and Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsScope (computer science)Life-cycle assessmentMeaning (existential)Computer scienceEstimatorArchitectural engineeringEngineeringStatisticsMathematicsProduction (economics)EconomicsPsychology

Abstract

fetched live from OpenAlex

This research aims to contribute to quantifying whole building life cycle assessment using various software tools to determine how they can aid the construction industry in reducing carbon emissions, and in particular embodied emissions, through analysis and reporting. The conducted research seeks to examine and compare three whole building life cycle assessment tools; Athena Impact Estimator, Tally and One-Click LCA to relate the input variability to the outputs of the three programs. The three whole building life-cycle assessments were conducted using a case study building with an identical bill of materials and compared to determine the applicability and strengths of one program over another. The research confirmed that the three programs output significantly different results given the variability in scope, allowable program inputs and generated “black-box” back-end calculations, where the outputted whole building life cycle carbon equivalents of One-Click LCA is less than half than of Tally meaning the programs outputs cannot be simply compared side-by-side.

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 categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.692
Threshold uncertainty score1.000

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 communication0.0020.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.048
GPT teacher head0.289
Teacher spread0.241 · 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.

Study designSimulation or modeling
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

Citations1
Published2021
Admission routes1
Has abstractyes

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