Digital Celebrity Diplomacy in the UN Security Council Elections: Canada, Ireland and Kenya
Bibliographic record
Abstract
Summary The 2020 UN Security Council ( SC ) elections concluded during a historical period defined by the global COVID -19 pandemic. As officials scrambled to organise a socially distanced election, the final stage of the campaigns was forced into the digital realm. To bolster candidate states’ chances of being elected to the SC , digital diplomacy became the primary mode of communication. Here we focus on the SC campaigns of Canada, Ireland and Kenya, which were defined by ‘digital celebrity diplomacy’. U2 and Celine Dion supported the national campaigns of Ireland and Canada, while Kenya drew on the recognition of a number of celebrity athletes to bolster its campaign’s national brand. Thus, we explore the convergence of celebrity and digital diplomacy in these SC campaigns, contributing to new understandings of the use of celebrity in transforming the projection and reception of strategic narratives when integrated with digital diplomacy during the global COVID -19 pandemic.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".