Policy-driven projects: Empowering the world to confront grand challenges
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
The world is beset by grand challenges, those messy, multi-stakeholder, value-laden, complex, wicked, and constantly evolving problems like climate change, unsustainable development, economic inequality, and global pandemics. While these grand challenges call for projects to translate policies into actions and changes, these projects tend to fall short of their ‘beautiful’ goals- such as the United Nations' Sustainable Development Goals (SDGs). Yet, the management literature remains mostly silent about the role of projects and project delivery in tackling grand challenges. In this article, we discuss the contribution of projects to grand challenges and ask what type of project management they demand, particularly in Europe. In light of the sheer complexity and interdependency of grand challenges and the projects they provoke, we call for further collaboration between project scholars and management scholars to help policymakers shape a better world where no one is left behind.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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