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Record W6939106680 · doi:10.60692/tzfda-htg66

Sustainable Development of Recent High-Rise Timber Buildings

2024· article· en· W6939106680 on OpenAlexaboutno aff

Bibliographic record

VenueGreater South Information System · 2024
Typearticle
Languageen
FieldMaterials Science
TopicMachine Learning in Materials Science
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityCross laminated timberSustainable developmentFire resistanceGreen buildingLogging

Abstract

fetched live from OpenAlex

Abstract High-rise timber building construction is becoming increasingly common across the world as construction and woodworking technology advances. The world is moving toward more sustainable development, and products like cross-laminated timber offer economical options for reducing the environmental impact. This chapter contributes to the theory and practice of sustainability assessment and extends the knowledge about high-rise timber buildings. The tallest timber buildings in different countries, such as Mjøstårnet and Treet in Norway and Brock Commons in Canada, are compared across the three dimensions of sustainability (environmental, economic, and social). According to previous research, none of the buildings are at the top in terms of sustainability, but the Brock Commons building in Canada has received the highest rank in all dimensions of sustainability. The issue of fire resistance for timber structures involves a paradox because it is widely recognized that heavy timber construction has outstanding fire resistance in severe fires. Design for burnout may require full or partial encapsulation of timber. Moreover, prefabrication of elements reduces duration and cost of projects. The goal of this chapter is to evaluate and assess the most effective modern high-rise timber buildings from both financial and environmental perspectives.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.801
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.003

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 head0.018
GPT teacher head0.232
Teacher spread0.214 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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

Citations0
Published2024
Admission routes1
Has abstractyes

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