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Record W1974062219 · doi:10.1162/1520397055012442

Private Sources of U.S. Foreign Policy: William Pawley and the 1954 Coup d'État in Guatemala

2005· article· en· W1974062219 on OpenAlexaff
Max Holland

Bibliographic record

VenueJournal of Cold War Studies · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical and Social Dynamics in Chile and Latin America
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsCovertLatin AmericansGovernment (linguistics)Political scienceAviationState (computer science)Cold warLawEconomic historyEngineeringHistoryPoliticsPhilosophyComputer science

Abstract

fetched live from OpenAlex

As a wealthy American businessman and former ambassador, William Pawley was a key actor in PBSUCCESS, the covert operation that brought down the government of Jacobo Arbenz Guzmán in Guatemala in 1954.The anti-Arbenz rebels, led by Colonel Carlos Castillo Armas, could not have defeated the Guatemalan army on their own. The key to a successful coup was getting the army to act on their behalf, and in this regard, control of the air was vital. Pawley, owing to his knowledge of Latin America and experience in aviation, played a central role in ensuring that the rebels enjoyed air superiority during their move against the president. At a more abstract level, Pawley exempli fied the role non-governmental actors played in the formulation and implementation of U.S. foreign policy during the Cold War. The “state-private network,” as it has been dubbed, remains a rich vein for scholarly investigation.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.170
Threshold uncertainty score0.338

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0100.005
Scholarly communication0.0080.003
Open science0.0000.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.021
GPT teacher head0.331
Teacher spread0.310 · 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 designObservational
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

Citations7
Published2005
Admission routes1
Has abstractyes

Explore more

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