A Climate-Economy Policy Model for Barbados
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Small island developing states (SIDS), such as Barbados, must continually adapt in the face of uncertain external drivers. These include demand for exports, tourism demand, and extreme weather events. Climate change introduces further uncertainty into the external drivers. To address the challenge, we present a policy-oriented simulation model that builds upon prior work by the authors and their collaborators. Intended for policy analysis, it follows a robust decision making (RDM) philosophy of identifying policies that lead to positive outcomes across a wide range of external changes. While the model can benefit from further development, it illustrates the importance for SIDS of incorporating climate change into national planning. Even without climate change, normal variation in export and tourism demand drive divergent trajectories for the economy and external debt. With climate change, increasing storm damage adds to external debt as the loss of productive capital and need to rebuild drives imports.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.001 | 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 it