A quantum model of climate change? Insights from community-based natural resource management in Namibia
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
Quantum approaches to International Relations (IR) offer theoretically rich explanatory frameworks attuned to the complexity and uncertainty of the social world. Recognizing that the payoff of quantum approaches to IR may be clarified through their application to empirical cases, we approach the radically complex and uncertain case of climate change's impacts on Community-Based Natural Resource Management (CBNRM) in Namibia from a quantum perspective. Established to protect the vibrant flora and fauna of Namibia while also promoting community and economic development aims, CBNRM conservancies face complex challenges from climate change. Inspired by Karen O’Brien's call for ‘quantum social change’ in our response to climate change, we draw on the quantum social theory to unpack how desertification, extreme weather patterns, and drought conditions radically reshape the possibilities available to conservancies, communities, farmers, and the state itself. By conceptualizing futures as wavefunctions encompassing the spectrum of potential future states, we demonstrate how a quantum imaginary can help to develop novel explanatory frameworks for the complexity of the world around us.
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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 | 0.000 |
| 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