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Record W2091934854 · doi:10.2495/arc100291

Renewable and durable building materials

2010· article· en· W2091934854 on OpenAlexaffabout
Luise Brock

Bibliographic record

VenueWIT transactions on ecology and the environment · 2010
Typearticle
Languageen
FieldEngineering
TopicSustainable Industrial Ecology
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRenewable energyComputer scienceEnvironmental scienceEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

Present ecological circumstances call for severe and immediate action.The debates that raged in Copenhagen at the United Nation's Climate Change Conference in 2009 spoke to the enormity of the problem as well as the complexity of the solutions.While many initiatives have begun to create public awareness and, in a few cases, have had a minor effect on decreasing our continuing consumption of natural resources, it is not nearly enough.The construction, occupation, and disposal of buildings should be a critical focus of any discussion on sustainability.This paper explores the efficacy of renewable building materials used in construction in Canada and the United States.The discussion centres on two examples, engineered wood products and earthen blocks.This paper assumes that the durability or long-life of the material in service is a key component to sustainability and that the construction of housing has a substantial role to play.The emphasis is on materials used in the building envelope or structure.

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)0.001
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: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0280.007

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 head0.004
GPT teacher head0.166
Teacher spread0.162 · 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

Citations0
Published2010
Admission routes2
Has abstractyes

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