Balances Without Great Powers: Some Evidence on War and Peace in the Americas, 1816–1989
Bibliographic record
Abstract
Did disputes between non-great powers in the New World, 1816–1989, escalate to war if the disputes involved roughly equal sides or not? Metaphorically and practically, “balances of power” are about measurement, but many of the usual measures prove to be incorrect. Proper assessments of the balances of fighting power qualify counts of the material resources by considering the political-organizational capacity of the state to employ what is counted, the geopolitical location and logistics, and what bystander states might do if the dispute were to escalate. A modest correlation exists between rough equality in power capabilities and war, not peace, in the Americas, 1816–1989. A bare majority of the wars in the Americas from 1816 until 1989 were fought between equal sides, and equal disputants were thirteen times more likely to escalate to war than non-equals were. This relationship found among non-great powers is much less strong than the relationship found among the great powers.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".