MétaCan
Menu
Back to cohort
Record W4407860103 · doi:10.1080/14650045.2025.2468770

Diagnosing American Decline: The Geopolitics of Havana Syndrome

2025· article· en· W4407860103 on OpenAlex
Jamey Essex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGeopolitics · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCuban History and Society
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsGeopoliticsPolitical sciencePoliticsLaw

Abstract

fetched live from OpenAlex

Beginning in 2016, American diplomats and family members posted to Havana, Cuba reported debilitating medical symptoms with no known physical cause. Many US officials labelled these as evidence of a new malady called ‘Havana syndrome’, caused by experimental weaponry deployed by hostile rival states. Since then, American personnel in numerous other countries have self-reported hundreds more cases. Despite no medical consensus on the cause or coherence of symptoms and no proof that such weaponry exists, US officials have consistently claimed that Havana syndrome is the result of directed attacks by hostile powers. I examine how, amid questions of US vulnerability and potential shifts in the global balance of power, Havana syndrome presents both a medical and a geopolitical diagnosis. The contested diagnosis and scripting of Havana syndrome reflects and propagates anxieties about American power, rewriting and enacting US geopolitical codes through sites and scales from the body to the globe.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.529
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.326
Teacher spread0.314 · 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