Conceptualizing Climate Vulnerability in Complex Adaptive Systems
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
This Perspective develops a novel approach for assessing the vulnerability of complex adaptive systems to climate change. Our characterization focuses on the dynamic nature of vulnerability and its role in developing differential risk across multi-dimensional systems, communities, or societies. We expand on past conceptualizations that have examined vulnerability as processual rather than a static or binary state and note the necessary role of complexity and complex adaptive systems theory as a basis for effective vulnerability assessment. In illustrating our approach, we demonstrate the importance of factors such as modulation (connectedness), feedback mechanisms, redundancy, and the susceptibility of individual components within a system to change. Understanding the complexity of potentially vulnerable systems in this manner can help unravel the causes of vulnerability, facilitate the identification and characterization of potential adaptive deficits within specific dimensions of complex adaptive systems, and direct opportunities for adaptation.
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) | 0.001 | 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