Maximizing project efficiency and collaboration in construction management through Building Information Modeling (BIM)
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
Building Information Modeling (BIM) represents a transformative approach in construction management, significantly enhancing project efficiency, stakeholder collaboration, and economic performance. This paper examines the integration of BIM across different phases of the construction project lifecycle, including pre-construction planning, resource allocation, and risk management. Utilizing quantitative analyses and empirical data, we explore how BIM facilitates precise planning, optimizes resource usage, and proactively manages project risks. Furthermore, the paper discusses BIM’s pivotal role in improving stakeholder communication, coordinating workflows, and enhancing decision-making processes. By detailing BIM’s impact on cost reduction, time savings, and return on investment, the study highlights its capacity to drive financial performance and stakeholder satisfaction in construction projects. The findings suggest that BIM not only streamlines project management but also significantly boosts profitability and efficiency.
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 | 0.000 | 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 | 0.001 |
| 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