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Record W2937094644 · doi:10.29173/mocs40

Mass Customisable Roofing Solutions for the New Build and Retrofit Markets in the UK

2018· article· en· W2937094644 on OpenAlexvenueno aff
Wojciech Plowas, Robert Hairstans, Jonathan Fellingham

Bibliographic record

VenueModular and Offsite Construction (MOC) Summit Proceedings · 2018
Typearticle
Languageen
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsnot available
FundersScottish Funding Council
KeywordsRoofTrussScope (computer science)Architectural engineeringArchitectureEngineeringFactory (object-oriented programming)MultitudeStructural systemCivil engineeringConstruction engineeringComputer science

Abstract

fetched live from OpenAlex

Major house builders and contractors in the UK are seeking alternative solutions to form the structural frame of pitched roofs for various reasons; speed, health and safety, quality ease of use. They are exploring the use of offsite systems, which arguably provide all of the above benefits. However, these systems are typically considerably more expensive, often difficult to scale-up and limited in their design scope compared to traditional roof truss solutions. The strategic aim of the research reported on in this paper was therefore to develop a mass customisable roofing solution to allow the UKäó»s largest roof truss manufacturer to enter into the off-site construction sector without reinventing their business architecture. The research considered both the new build and retrofit market. The first roof solution for the new build market is a äóÖsliding roofäó», a roof truss installation method which includes a pre-prepared system created under factory conditions. The system is delivered to the construction site where it is lifted onto one end of the structure. After the system is in placed it is opened the length of the roof. The second system investigated, to be used for the retrofit market, is a self-supporting and thermally insulated roof panel, designed and developed for a multitude of pitched roofs. Working with the industry partner the suitability of the roof systems as effective off-site solutions has been trialled. The full process was monitored from a design, manufacture and construction perspective with a critical appraisal undertaken for evaluation purposes. These finding are reported.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.549
Threshold uncertainty score0.553

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.010
GPT teacher head0.201
Teacher spread0.191 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations1
Published2018
Admission routes1
Has abstractyes

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