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Record W4220823333 · doi:10.1163/25891774-bja10061

From the Green Zone to Havana Syndrome: Making Geographic Sense of Rotationality and Hardship in Diplomacy

2022· article· en· W4220823333 on OpenAlexaffabout
Jamey Essex, J. E. Bowman

Bibliographic record

VenueDiplomatica · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Relations and Foreign Policy
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsDiplomacyOpenness to experienceSalaryPolitical scienceFunction (biology)SociologyPublic administrationPolitical economyLawPsychologySocial psychology

Abstract

fetched live from OpenAlex

Abstract Most foreign ministries use a rotational system in deploying personnel abroad, with diplomats moving between foreign posts every few years and earning salary premiums based on the risks, dangers, and hardships associated with different foreign posts. We examine rotationality and hardship in diplomacy, identifying these as spatial and institutional practices for managing a global network of diplomatic personnel and sites. These are institutionalized in foreign ministries’ processes for assessing and compensating hardship and danger, and embodied in the design, function, and locational contexts of embassy buildings in foreign capitals. We rely on empirical examples from the US and Canadian foreign services, looking at US embassies in Berlin and Baghdad, and “Havana syndrome” among American and Canadian diplomats and their family members. We conclude that security-heavy forms of hardship assessment and management can limit diplomats’ ability to build local knowledge and constrain the interaction and openness usually prized in diplomatic practice.

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 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)0.000
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 score0.613
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.024
GPT teacher head0.335
Teacher spread0.311 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations1
Published2022
Admission routes2
Has abstractyes

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