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Record W1963233251 · doi:10.1002/polq.12329

American Allies in Times of War: The Great Asymmetry

2015· article· en· W1963233251 on OpenAlexaboutno aff
Jonathan N. Brown

Bibliographic record

VenuePolitical Science Quarterly · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceEconomic historyPolitical economyHistorySociology

Abstract

fetched live from OpenAlex

When the United States perceives a threat to international security and calls on its allies for military assistance, how do they respond to such requests? A conventional view of alliances as instruments of control wielded by powerful states would suggest that secondary partners are likely to fall in step with U.S. plans or suffer the consequences of disappointing their patron superpower. Yet, since World War II, U.S. allies have pursued varying levels of military commitment in U.S.-led wars—ranging from nonparticipation to full-scale cooperation—without causing any apparent long-term damage to their alliance relationships. To crack this puzzle, Stéfanie von Hlatky develops a neoclassical realist theory that elucidates how U.S. allies navigate between the Scylla of American expectations and the Charybdis of domestic constraints. She then evaluates this theory empirically through qualitative analyses of the United Kingdom's, Canada's, and Australia's initial responses to the wars in Afghanistan and Iraq. Von Hlatky's theory rests on three claims. First, power asymmetries between the United States and its democratic allies can generate divergent assessments of international threats, where the former gauges developments in terms of its global ambitions while the latter prioritize more circumscribed sets of concerns. Second, when such disagreements arise, U.S. allies face strong reputational incentives to respond favorably to requests for military support, given the value of American protection. Third, their ability to respond favorably is significantly mitigated by two domestic-level factors: the autonomy/cohesion of foreign policy decision makers and the availability/suitability of military capabilities. This argument generates three predictions: first, full-scale participation in U.S.-led wars is likely when allied states have both a highly autonomous/cohesive leadership and available military capabilities that satisfy U.S. operational needs; second, limited participation is likely when allied states have either a weak leadership with strong military capabilities or a strong leadership with weak military capabilities; and third, nonparticipation in likely when allied states have both a weak leadership and limited military capabilities.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.014
Scholarly communication0.0070.007
Open science0.0000.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.000

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.

Opus teacher head0.036
GPT teacher head0.257
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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