Causes of government construction projects’ abandonment
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
Government construction projects are vital to the economic development of developing countries. However, although most of these projects suffer from abandonment, little evidence exists concerning the causes that account for this setback. This paper investigates the causes of government construction project abandonment in Ghana. We used a sequential data collection approach, in-depth semi-structured interviews, and questionnaire surveys to solicit the views of project management practitioners, contractors, and clients associated with Ghana government construction project implementation. Using factor analysis and structural equation modelling, we find that Ghanaian government construction project abandonment is influenced by five sets of causes: political leadership, culture, external forces, resources (including funding) and administrative/institutional bottlenecks. Three of these sets of causes – political leadership, cultural and external forces, are the primary causes, while resources (including funding) and administrative/institutional causes are secondary causes.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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