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Record W2029460150 · doi:10.1177/0010836715574912

To be a diplomat abroad: Diplomatic practice at embassies

2015· article· en· W2029460150 on OpenAlexaff
Jérémie Cornut

Bibliographic record

VenueCooperation and Conflict · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPolitical scienceCompetence (human resources)Argument (complex analysis)Government (linguistics)State (computer science)Public relationsSociologyPublic administrationLawManagementEconomics

Abstract

fetched live from OpenAlex

This article shows that the simultaneous management of three different social roles – knowledge producer, representative of a government, and bureaucrat – defines the everyday work and practice of contemporary diplomats posted at embassies. This argument rests on an analysis of information gathering in Western embassies before, during and after the eighteen days of the revolt that ousted Egyptian President Hosni Mubarak in 2011. I first identify various practices influencing diplomatic knowledge and prompting the production of particular interpretations of the revolt in Egypt. I then analyze how actors manage multiple positions and dispositions within overlapping social fields. This point illustrates what practice theorists mean when they assert that agents are always speaking from a position. Overall, the article unravels what being a diplomat posted abroad actually consists of in practice, complementing existing studies on the diplomatic mode of knowledge production. I provide insights on the interactions between diplomats and non-state actors and show that diplomats’ social skills and analytic competence constantly require and support each other.

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)0.005
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.013
Scholarly communication0.0060.004
Open science0.0010.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.079
GPT teacher head0.400
Teacher spread0.321 · 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 designQualitative
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

Citations72
Published2015
Admission routes1
Has abstractyes

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