Diagnosing Government Responsibilities in the Implementation of Public-Private Partnership System for Infrastructure Procurement
Bibliographic record
Abstract
Public-Private Procurement is a system that allows for collaboration between the government and private partners in infrastructure provision.However, researchers argued that the successful implementation of the procurement option rested more on the government's shoulders.Hence, the study aims to identify critical government roles and investigate their importance and performance in PPP projects in Nigeria using a survey approach.The targeted respondents are PPP stakeholders operating in Lagos and Abuja.However, due to the absence of comprehensive lists of the PPP stakeholders involved in PPP projects in Nigeria, a projectbased approach was used in attaining the representative samples for the study, including contractors, consultants, concessionaires, government agencies, and financiers.About 384 copies of questionnaires were randomly distributed to the sample representatives, and 274 copies were retrieved.The data generated were analyzed using descriptive and inferential statistical tools.Findings showed that all the roles identified are critical and showed significant interrelationships with each other.However, the government's performance in the highlighted roles is unsatisfactory, and recommendations were made on its shortfall.
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.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 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".