Islandness within climate change narratives of small island developing states (SIDS)
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) are portrayed as icons of climate change impacts, with assumed islandness characteristics being used to emphasize vulnerability. Meanwhile, island resilience expressed as the stability of island 'paradises' is said to be undermined by climate change. Two dominant counternarratives have been emerging. Physical science demonstrates the limited empirical evidence at the moment for SIDS being destroyed due to climate change. Notwithstanding that such empirical evidence could appear in the future, social science counternarratives are challenging notions of SIDS' peoples inevitably fleeing their homes as climate refugees. Instead, SIDS' peoples have strong abilities and desires to make their own mobility decisions, whether due to climate change or other impetuses. Consequently, islandness within SIDS' climate change narratives is not necessarily problematic, but instead can help islanders address climate change and wider challenges. The counternarratives, even if not entirely contradicting the dominant narratives, provide needed nuances, balance, and contextualization to provide a full picture of SIDS, islandness, and climate change.
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 | 0.002 | 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 | 0.002 | 0.001 |
| 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 it