Structural-functionalism redux: adaptation to climate change and the challenge of a science-driven policy agenda
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
Most efforts to develop a comprehensive, science-based approach to climate change adaptation have been written by natural scientists and resource managers and have adopted an underlying conception of policy-making as a functional process of mutual adjustment between elements of tightly linked natural and social systems. The influence of this framing is especially clear in the popularity of key metaphors such as ‘stress,’ ‘barriers,’ ‘vulnerability,’ and ‘resilience.’ There are obvious advantages to this way of proceeding, not least the possibility of using the systems concept as an overarching framework to integrate the multidisciplinary teams of researchers commonly employed in large-scale assessments of climate change impacts. Nonetheless, this underlying conception of linked natural and social systems presents significant challenges when it comes to moving the ideas found in these strategic documents forward into the world of policy and practice. As the case studies of North American, Australian, and European studies presented here show, the strategic documents themselves are very short on policy analysis, fail to incorporate the impact of institutions and policy legacies into their analyses, and, as a result, favor unfounded or infeasible management prescriptions. As a consequence, adaptation policy itself remains poorly developed in most jurisdictions.
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 | 0.005 |
| 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 | 0.007 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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