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Record W2105230756 · doi:10.1680/cien.14.00053

Technologies enabling advanced urban timber construction

2015· article· en· W2105230756 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueProceedings of the Institution of Civil Engineers - Civil Engineering · 2015
Typearticle
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsArchitectural engineeringUrbanizationCurrencyCivil engineeringEngineeringEcology

Abstract

fetched live from OpenAlex

This paper addresses rebirth of timber as a material suitable for urban construction. It lost currency during the late nineteenth and throughout the twentieth century, with the main reasons being concern about fire safety and the emergence of structural steel as a material well suited to expression of architectural modernism. Now the wheel of fortune is turning again, but in timber’s favour, with driving forces being continued population growth and urbanisation, and the need to create sustainable liveable cities. Also, technical knowhow now exists to address fire performance of timber buildings and timber materials have evolved to a level where some claim they are ‘better than steel’, or reinforced concrete. Research and development of fire engineering as a rigorous science are enabling implementation of performance-based design methods that literally revolutionise the design space for timber buildings. Tall timber buildings dot many recent city landscapes, but even so the possibilities largely await exploitation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.355
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
Bibliometrics0.0000.001
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 head0.008
GPT teacher head0.187
Teacher spread0.179 · 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