Adaptation pathways to inform policy and practice in the context of development
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
Adaptation pathways are a decision-focused approach to account for future uncertainties and complexities in planning and implementation of adaptation actions. The pathways approach incorporates flexibility into decision making to accommodate for changing conditions over time, and to reduce undesirable path dependencies and maladaptive consequences. While the pathways approach for adaptation planning has received great interest from both climate scientists and practitioners, there has been little specific guidance on how to implement them and how to sustain the resulting outcomes. Accordingly, pathways approaches include diversified methodologies, with scope for reorienting and adjusting methods for different decision contexts. This special issue explores both theoretical and empirical cases of adaptation pathways in different contexts. A learning framework on adaptation pathways has been developed from a systematic review of adaptation literature. In this editorial, the framework is used to characterize the twelve case studies presented in the special issue, followed by a synthesis of lessons which point to some critical research gaps in adaptation pathways.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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