Bibliographic record
Abstract
There is considerable evidence that peacebuilding operations are more likely to reproduce important elements of the status quo than they are to propel post-conflict states toward a liberal democracy. In contrast to existing theories that focus on the resources available to peacebuilders or the degree of damage caused by the war to explain the outcome, we highlight the interaction between international and domestic actors. Specifically, we conceive of peacebuilding as a strategic process involving peacebuilders, a postwar government, and other local elites. The equilibrium results show that this process typically concludes in a compromised peacebuilding outcome. This is not surprising when the policy preferences of the actors diverge, but the results also hold when domestic elites prefer a liberal democracy to the status quo. Why? Primarily, because postwar governments are rewarded by relatively impatient peacebuilders with more resources than they would otherwise receive. Additionally, if there exists a secondary elite with veto power, a compromised outcome becomes even more likely. We illustrate these findings with reference to post-1989 peacebuilding operations. Although peacebuilding might not work as it is intended, in the conclusion, we argue that it is better than the alternatives and propose a more realistic measure of peacebuilding success.
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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".