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Record W4380450680 · doi:10.52202/069179-0551

TALLWOOD 1: LESSONS LEARNED ON COMPLETION OF CANADA'S FIRST 12 STOREY TIMBER-STEEL HYBRID BUILDING

2023· article· en· W4380450680 on OpenAlexaboutno aff
Ornagh Higgins, Ilana Danzig, Brendan Fitzgerald, Jackson Pelling, Mehrdad Jahangiri

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSeismic and Structural Analysis of Tall Buildings
Canadian institutionsnot available
Fundersnot available
KeywordsArchitectural engineeringComputer scienceCompletion (oil and gas wells)EngineeringMechanical engineering

Abstract

fetched live from OpenAlex

This paper presents the design considerations and construction challenges for the District 56 Tallwood 1 project; a 12 storey mixed-use steel-timber hybrid tower constructed in the South-West region of British Columbia, Canada.The project was completed in 2022 and is located in a region with some of the highest seismic demands in the country.The structural systems made use of pre-fabricated timber and steel components with the goal of decreasing onsite assembly time.This paper describes the structural systems chosen to resist both gravity and lateral loads, design for fire resistance, robustness, and lessons learned during construction.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.203
Threshold uncertainty score0.409

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.026
GPT teacher head0.234
Teacher spread0.208 · 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 designObservational
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

Citations4
Published2023
Admission routes1
Has abstractyes

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