The awareness of integrated project delivery and building information modelling - facilitating construction projects
Bibliographic record
Abstract
Construction projects are complex undertakings, which involve many different parties striving towards successful completion.Effective and efficient processes are based on collaboration with an integrated project delivery approach, the project team working together as a cohesive unit towards a common goal.However, the current procurement system adopted creates fragmentation of the design and construction teams, which results in projects being delivered late, constructability issues, final project cost exceeding the approved budget, and variation orders.A self-administered questionnaire was distributed to various built environment professionals within the Eastern Cape construction industry to determine the current awareness with respect to Integrated Project Delivery (IPD) and Building Information Modelling (BIM).The findings showed that these systems have many benefits, which can assist in mitigating the aforementioned issues.The respondents indicated that they were aware of IPD and BIM and the related benefits; however, there are barriers preventing the adoption of these systems, such as clients not identifying the advantages, clients being resistant to change, as well as a lack of the requisite-related knowledge and skills.Conclusions include that collaboration within the construction industry is imperative toward the successful completion of projects and that further information with respect to IPD and BIM is required to raise awareness and promote the adoption of these models.Recommendations include: all stakeholders need to commit to the ideology behind these concepts and develop an understanding of the concepts and related benefits, and industry associations need to publish information regarding IPD and BIM, as this will increase awareness.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.017 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.012 | 0.019 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".