How the Spread of Young Coral Can Help Save Coral Reefs
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
Coral reefs around the world are getting sick (and sometimes dying) at alarming rates due to climate change. Certain coral reefs (low-risk reefs) are predicted to be less at risk of getting sick than others. We wondered whether low-risk reefs can help save other reefs. We found that this is possible—through the movement of young coral from healthy reefs to damaged or dying reefs. We found that coral reefs worldwide are connected through the spread of young coral, forming 604 reef networks. Some networks are very large, but most are very small. If only the low-risk coral reefs survive, many of these networks will be preserved, which will help the overall survival of coral reefs into the future. However, young coral from these low-risk reefs do not reach all reefs worldwide, so it is important to find and protect reefs that are good at sending young coral to rescue the rest of the world’s reefs.
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) | 0.000 | 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