Publicly mediated diplomacy through online subsidies and the promotion of peace
Bibliographic record
Abstract
This chapter examines how various countries such as USA, Canada, Sweden and the UK and a range of international organisations aim to influence public perceptions about peacebuilding in targeted countries through public mediated diplomacy efforts. Specifically, it explores the role of online information subsidies (e.g., statements, press briefings, news stories and fact sheets) as a venue for perception management regarding the transition to post-conflict environments through spatial framing. Drawing on contemporary literature in the area, the author argues that online subsidies constitute a key mediated public diplomacy strategy for agenda and frame-building purposes, directed not only towards international news media but also publicly accessible to anyone with internet access. Framing through online subsidies in this fashion links traditional and contemporary diplomatic practice as well as news production and public relations transference of values. Underpinned by an understanding of mediated public diplomacy in a constructivist fashion, the author emphasises the role of international communicative engagement in fostering a public good such as peace, beyond national interests and image building.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".