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
Effectively responding to intensifying climate change hazards requires identifying risks arising from each response, as well as risks arising from the dynamic interactions between responses. Using examples of managed retreat and solar geoengineering, we illustrate the importance of understanding response as a determinant of climate change risk. We highlight a continuum of severity of response risks, both at the site of deployment and across temporally and geographically distant contexts. While responses might moderate a specific hazard, due to the complexity of climate change risk they may be ineffective at reducing net climate-related risk for any given actor or system. We also show how some responses to climate change affect vulnerability, exposure, and other responses to climate change independent of the targeted hazard and can lead to maladaptation. We conclude by emphasizing the importance of integrating climate change responses together with other determinants of risk to better inform climate risk management and guide research on the feasibility of individual response options.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.023 |
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