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Record W3111901970

Wood architecture research and fabrication centres

2019· dissertation· en· W3111901970 on OpenAlexaboutno aff
Marc Bartolucci

Bibliographic record

VenueLu Zone Ul (Laurentian University) · 2019
Typedissertation
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsnot available
Fundersnot available
KeywordsArchitectureFabricationEngineeringComputer architectureManufacturing engineeringArchitectural engineeringComputer scienceGeographyMedicineArchaeology
DOInot available

Abstract

fetched live from OpenAlex

This thesis explores architectural wood assemblies and
\nfabrication methods, towards the design of a wood architecture research
\nand fabrication centre, at Laurentian University. During the 19th century
\ntimber was the dominant building material used throughout Northern
\nOntario. The industrial revolution of the 20th century, introduced concrete
\nand steel into the construction industry as fire-resistant alternatives
\nto timber buildings. Due to increased environmental concerns and
\nthe advancement of engineering capabilities, wood has re-emerge
\nin the 21st century as a low-carbon alternative to concrete and steel
\nconstruction. This revolution towards a sustainable building industry is
\ndemanding an increased understanding of wood, and its potential within
\nthe built environment. This thesis examines academic and industry
\nresearch facilities experimenting with wood buildings assemblies and
\nrobotic manufacturing processes. Design and fabrication research is
\nconducted to develop a new architectural assembly that is applied in
\na building proposal for a Wood Architecture Research and Fabrication
\nCentre at Laurentian University, in Sudbury, Ontario.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.805
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
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.214
Teacher spread0.204 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2019
Admission routes1
Has abstractyes

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