Alliance Formation and Conflict Initiation: The Missing Link
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
Abstract Existing research on the connection between alliance formation and conflict initiation has explicitly focused on the direct effect of alliances on conflict by including some measure of alliance behavior as an independent variable in models of conflict behavior. Existing research misspecifies the relationship between alliances and conflict, because alliance formation and conflict initiation are shaped by many of the same factors (in particular, regime type and capabilities), and alliance formation decisions are endogenous to conflict initiation decisions. Thus, alliance formation and conflict initiation should be modeled in a system of equations where a set of variables shapes alliance formation and conflict directly, and indirectly affects conflict through the decision to ally. The author estimates a two-equation probit model that accounts for the endogenous nature of alliance formation decisions and, thus, for the indirect effects of variables like regime and power on conflict. Results suggest that the effect of regime on alliance behavior differs across time periods. Finally, the model provides evidence that the total effects of variables like power and regime on conflict are, in fact, mediated by how those variables influence the decision to ally.
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 | 0.004 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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