The Impact of Building Information Modelling (BIM) for Contractor Costing in Offsite Construction Projects in the UK
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.
Bibliographic record
Abstract
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it