Small Island Developing States and climate securitisation in international politics: Towards a comprehensive conception
Bibliographic record
Abstract
This article focuses on the engagement of Small Island Developing States (SIDS) in the climate security debate launched by the United Nations Security Council. It aims to show how SIDS’ engagement in the Security Council debate can provide an innovative approach to explain and overcome some of the conceptual and policy challenges for climate securitisation at the international level. Big and small actors in the climate security debate have formed multiple perceptions about threats and solutions concerning climate security. Military-based framings of security have taken a dominant place in the Security Council debate; this has created challenges for security actors seeking to include multiple threat factors related to climate change in the security space. SIDS have illustrated the challenges in highlighting the diverse range of vulnerabilities, impacts, and solutions uniquely inherent to many security speakers and audiences involved in the climate security debate. Using a qualitative analysis of constructivist literature on securitisation, this article develops a conceptual framework to help incorporate SIDS’ broader aspects of climate security into the securitising move at the international level. It asserts that SIDS make a compelling case to explain the impacts of multilevel threat factors and security provisions on climate security formation.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".