Identifying and Evaluating the Reality of Projects Delivery Systems
Bibliographic record
Abstract
The way a project is delivered has a significant impact on project outcomes. Design-build, design-Bid -build represents the most common methods of delivery of wastewater projects in Iraq. Each system comes with its own advantages and disadvantages that suit all different projects and under different circumstances. The purpose of this research is to identify the main and secondary factors affecting the method of delivering wastewater projects and to identify the potential risks of these different methods. The methodology used for identification is by reviewing the general literature and conducting personal interviews for employees working in the planning and implementation of wastewater projects, as well as a questionnaire distributed to 20 projects under implementation in Wasit Governorate / Iraq. The results of this research are summarized by identifying the main and secondary factors according to the relative importance of these factors, where the factors with relative importance less than) 65) % were neglected.
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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 | 0.054 | 0.122 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.014 | 0.008 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".