Ordering the World: Academic Research and Policymaking on Fragile States1
Bibliographic record
Abstract
The gap between academic research and policymaking in international relations (IR) is much lamented but poorly understood. Much of what we know about the gap is based on personal anecdotes, untested assumptions, and simplistic conceptions of what counts as policy influence. Using the literature on fragile states as a window into the research-policy interface, this article finds little evidence of scholarship directly influencing policies through specific recommendations and findings. However, academic ideas in this field appear to have important indirect effects on international policy actors – namely, by helping to define and refine understandings of state fragility as a policy problem and by informing the development of operational frameworks for responding to this problem – even though the actors themselves may not be entirely aware of such conceptual influences.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.045 | 0.050 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.010 | 0.016 |
| Science and technology studies | 0.014 | 0.076 |
| Scholarly communication | 0.027 | 0.034 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.012 | 0.011 |
| Insufficient payload (model declined to judge) | 0.007 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".