Managing Risks in Public Private Partnerships (PPP) in Housing in Nigeria: Methodological Perspective
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
It is generally accepted that effective risk management is key to successful project management. However, relevant questions pertinent to risk management can only be answered satisfactorily when the appropriate research methodology is adopted. This paper presents the research methodology adopted for a doctoral research aimed at managing risks in Public Private Partnerships in housing in Nigeria. The paper adopted the research ‘onion’ as a guide in the designing the research. The study outlines the research philosophy, approach, strategy, choice, time horizon and techniques and procedures for conducting the research and at the same time tries to justify those choices based on the nature of the research and the research questions as recommended in research methodology literatures. The paper contributes by highlighting justifications for the adoption of research methods to address the research objectives.
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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 | 0.009 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it