Adaptable effectiveness of industrialised building (IBS) in construction projects
Bibliographic record
Abstract
Generally, implementation of Industrialized Building System (IBS) as a new technology has been proposed to be used in construction project. Used of IBS can reduce labor usage, increase productivity and better the quality of building construction. Unfortunately, construction using Industrialized Building System (IBS) are still lacking in Malaysia. This study is mainly focused on the effectiveness of IBS from perspective of respondents involved in construction projects who have had experienced using IBS and problems faced by people involved in construction projects who have experienced using conventional method. The data were collected through literature review and questionnaire through contractor within the Selangor district. From the findings, the level of IBS usage in construction projects is still low which is far from the government's target to fully implement the use of lBS in construction projects This study also found that the most effective IBS system in construction projects is reduce construction waste and produce a good and clean of construction site. The main problem faced by conventional method that can encourage IBS implementation in construction projects is dependence on foreign workers and poor quality of construction materials.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".