SIDS and Sustainable Finance: A Systems Based Risk Approach to Improve Access to Private Investment
Bibliographic record
Abstract
Commonwealth Small Island Developing States (SIDS) are broadly recognised as facing considerable challenges in accessing finance for development and climate change adaptation. Conventional approaches to overcome these challenges emphasise investing in capacity building to improve the quality of SIDS domestic governance as the key factor in facilitating more investment. We argue that this strategy has had limited success because it has failed to derisk SIDS specific systemic barriers faced by SIDS governments and investors. To address this, we introduce the Common Pool Asset Structuring Strategy (COMPASS) as a new type of financial governance framework and pathway for SIDS to access international finance and investment. Using the principle of collaboration, this model would shift SIDS from making individual applications for finance, to collectively developing investable projects, at larger scales, that can exploit common investment opportunities - thereby increasing scale, driving down project costs and diversifying project risk profiles.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".