The Importance of Empowering the Smart City in Iraq: A Case Study of Baghdad Municipalities
Bibliographic record
Abstract
This research aims to analyze the factors influencing smart city enablement in Baghdad and prioritize indicators affecting this transformation while providing recommendations for improving infrastructure and smart services.The methodology relied on evaluation by a group of 120 experts specialized in architecture, urban planning, academics, municipal department directors, and municipal engineers.A structured questionnaire using a five-point Likert scale (1-5) was employed to measure experts' opinions on indicators' relevance and impact.The Likert scale was specifically chosen for its ability to quantify expert assessments and ensure consistent evaluation across multiple smart city indicators.The results showed that Karrada Municipality is ready to transform into a smart city, and digital security is the most principal factor in this transformation.The study revealed a significant disparity between municipalities in readiness for smart transformation, with general weakness in air quality and waste management.Municipalities such as Mansour and New Baghdad showed progress in digital infrastructure and smart services.The findings indicate short -, medium-, and long-term projects, and the need to launch pilot projects in Karrada, implement advanced cybersecurity solutions, and establish a Smart Municipalities Development Fund, with a focus on improving infrastructure in less developed municipalities and expanding fiber optic networks and cloud services as the last step.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".