MétaCan
Menu
Back to cohort
Record W4293916304 · doi:10.1163/1871191x-bja10127

Citizen or City Diplomacy? Diplomatic Co-Production and the Middle Ground in Municipal Twinning Relationships

2022· article· en· W4293916304 on OpenAlexaffabout
Scott Michael Harrison, Quinton Huang

Bibliographic record

VenueThe Hague Journal of Diplomacy · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCross-Border Cooperation and Integration
Canadian institutionsAsia Pacific Foundation of Canada
Fundersnot available
KeywordsCrystal twinningDiplomacyPolitical scienceGovernment (linguistics)Public administrationPolitical economySociologyLawPolitics

Abstract

fetched live from OpenAlex

Summary Since their early origins in the Cold War, municipal twinning relationships have relied on citizen initiative and participation. Where does the government end and the citizen begin? Using examples from Canada–Asia city twinning, we argue that municipal twinning relationships should be viewed as a co-produced diplomatic ‘middle ground’ formed by the interactions of official and domestic society actors. We map how the concept of a co-produced middle ground helps us better understand the identities, capacities, continuities, criteria and conceptions at the heart of municipal twinning relationships. These insights could inform a co-productive model for municipalities to approach the design and implementation of twinning relationships. As a preliminary examination of domestic society actors in municipal twinning using the interpretative framework of co-production, this article points towards possibilities for future avenues of research and policy-making that more carefully attend to the actors, sites and scales of subnational diplomacy.

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)0.009
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.083
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0120.027
Scholarly communication0.0120.006
Open science0.0010.012
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.125
GPT teacher head0.378
Teacher spread0.253 · 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

Citations3
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueThe Hague Journal of DiplomacySame topicCross-Border Cooperation and IntegrationFrench-language works237,207