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Record W4224224759 · doi:10.1163/21967415-09010008

Diplomats vs. Locals

2022· article· en· W4224224759 on OpenAlexaboutno aff
Lukas Praxmarer

Bibliographic record

VenueEuropean Review of International Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsAmbivalenceQuarter (Canadian coin)DiplomacyNarrativePerceptionSituatedPublic diplomacyPolitical scienceSociologyPublic relationsSocial psychologyGeographyPsychologyLawPoliticsArchaeologyArt

Abstract

fetched live from OpenAlex

Abstract This paper investigates the perception of diplomats by local inhabitants in the diplomatic quarter of Bern, Switzerland, well known as a ‘diplomatic site’. Through 16 semi-structured interviews with residents of the quarter, it was found that diplomats are perceived as a distant, separate community characterised by a lack of interest and effort to integrate into the host environment. In lieu of significant interactions, the perception was largely defined by the material dimensions of the diplomatic site and a generally positive understanding of diplomats. It is argued that this ambivalent, non-elitist, perception in Bern is two-dimensional, consisting of the personal, daily, spatially rooted, social experience of the diplomatic site situated within a wider societal narrative on diplomats and diplomacy, which should be accounted for in public diplomacy efforts. Future research should focus on investigating perceptions of diplomats outside of the diplomatic quarter to elucidate said societal narrative.

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)0.004
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 score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.066
GPT teacher head0.400
Teacher spread0.333 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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