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Record W4230082142 · doi:10.29173/mocs191

The Impact of Building Information Modelling (BIM) for Contractor Costing in Offsite Construction Projects in the UK

2015· article· en· W4230082142 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueModular and Offsite Construction (MOC) Summit Proceedings · 2015
Typearticle
Languageen
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsnot available
Fundersnot available
KeywordsBuilding information modelingProductivityStatus quoActivity-based costingConstruction industryIntegrated project deliveryConstruction managementValue (mathematics)Risk analysis (engineering)Building constructionBusinessConstruction engineeringEngineering managementEngineeringOperations managementComputer scienceMarketingCivil engineeringEconomics

Abstract

fetched live from OpenAlex

It is clear that challenging economic times inspire innovative abilities and solutions in the construction industry. In particular many of these innovations focus on cost implications, saving project time, reducing or eliminating waste, increasing productivity or redefining value. There is increasing pressure in the UK construction industry for new construction innovations, technology and processes with ability to lever a significant impact relative to disrupting the existing status quo; creating solutions that promote construction efficiencies deploying means to exploiting offsite construction approaches. The increased concern and challenge globally is that as knowledge and experience grows, the offsite manufacturers and suppliers are expected to demonstrate absolute innovative solutions that will heighten the proportion of project value being delivered through the use of offsite solutions on the bases that it makes sound project and business sense. Unparalleled huge cost saving benefits to clients and end users which is more than just creating a model is yet to be realized.

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)0.001
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.813
Threshold uncertainty score0.757

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.019
GPT teacher head0.232
Teacher spread0.213 · 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