Strategies for Building Information Modelling Adoption in the South African Construction Industry
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
The present state of the construction industry worldwide requires continual improvement. The quest for improvement is to the advantage of all concerned stakeholders. Innovation has been identified as this improvement measure. Building Information Model (BIM) is an example of such innovation in the construction industry. This work presents the strategies required for full adoption of BIM among construction professionals in South Africa. The study conducted a questionnaire survey among construction professionals in Gauteng province, South Africa. Data gathered were analyzed using percentage, mean item score and Kruskal-Wallis H-Test. The reliability of the questionnaire was also determined using Cronbach-alpha test. Embracing BIM requirements in construction supply chain, encouraging stakeholders collaboration, clear understanding of procurement process, and interpretation of accurate information are identified as key strategies for proper BIM adoption in for construction activities in South Africa
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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