Engineering innovations in Canada’s public–private partnerships
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
Public–private partnerships (PPPs) have long been touted as an innovative project delivery method that encourages technological innovation and chases delivery efficiency. However, literature based on European PPP practices seems to provide conflicting evidence. To help better understand and further improve this prevailing delivery method, this study collected and analysed empirical evidence of engineering innovations that have been successfully used in existing PPP projects in Canada. Drawing on literature review and an intensive interview programme involving 19 interviewees from 15 successful PPP projects, the study answered the what, who, when, why and how questions about innovation in PPPs. The study concluded that the PPP delivery system does provide unique innovation opportunities and scope that traditional delivery models cannot support. Performance-based output specifications, vertical integration and communication are the three key areas for improvements to enhance innovation in PPPs further.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| 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