Political Leadership and the Digital Diffusion of Feminist Foreign Policy
Bibliographic record
Abstract
Abstract This chapter examines the role of political leadership and the utilisation of digital diplomacy in advancing the norms and objectives of feminist foreign policy. It explores the various roles that leaders play in the political articulation, resonance and contestation of feminist foreign policy in the digital realm. It specifically analyses how and in what ways former Swedish foreign minister Margot Wallström actively engaged, as a norm entrepreneur, in efforts to garner political support for Sweden’s feminist foreign policy, while disseminating a feminist vision of a more gender-just world order to global online audiences. Moreover, the chapter examines how Wallström strategically articulated Sweden’s feminist foreign policy as a prioritised agenda and the international resonance it elicited, particularly evidenced by the positive responses of states such as Canada and Germany. Finally, the chapter elucidates the ramifications of political leadership and gendered contestation on social media by analysing Sweden’s role in the #shedecides digital campaign. This campaign was triggered in response to the reinstatement of the US global gag rule by the Trump Administration, which sought to restrict the sexual and reproductive rights of girls and women worldwide.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.000 | 0.002 |
| 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".