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Teardown Index

2020· book-chapter· en· W3009094127 on OpenAlexaffabout
Joseph Dahmen, Jens von Bergmann, Misha Das

Bibliographic record

VenuePractice, progress, and proficiency in sustainability · 2020
Typebook-chapter
Languageen
FieldEngineering
TopicBuilding Energy and Comfort Optimization
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsOffset (computer science)Index (typography)Payback periodEfficient energy useArchitectural engineeringConstruct (python library)Environmental economicsEmbodied cognitionEngineeringBusinessComputer scienceEconomicsElectrical engineeringMicroeconomicsArtificial intelligence

Abstract

fetched live from OpenAlex

Replacing older homes with new ones constructed to higher efficiency standards is one way to raise the operating efficiency of building stocks. However, new buildings require large amounts of embodied energy to construct, and it can take years before more efficient operations offset carbon emissions associated with new construction. This chapter looks at the carbon dioxide emission payback period of newly constructed, efficient single-family homes in Vancouver, British Columbia, where the authors find that it takes over 150 years for the operation to equal the embodied carbon associated with the of a typical high-efficiency new home. The findings suggest that current policies aimed at reducing emissions by replacing older homes with new high-efficiency buildings should be reconsidered.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.498
Threshold uncertainty score0.717

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0020.001
Scholarly communication0.0070.004
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.4980.330

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 head0.007
GPT teacher head0.236
Teacher spread0.229 · 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.

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

Citations0
Published2020
Admission routes2
Has abstractyes

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