Diverse understandings and values of nature at the peace–environment nexus: a critical analysis and policy implications towards decolonial peace
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
Scholarship in peace and conflict studies is paying increasing attention to the role of the environment for conflict transformation and peacebuilding. However, a closer analysis on how different understandings of “nature” implicate policy proposals and approaches to peacebuilding is lacking. In this study, we provide a critical reflection on the diverse understandings and valuations of nature at the nexus of peace and environment. We do this from a decolonial approach and with a particular focus on the concept of sustainable peace. We first discuss our theoretical approach based on a critical and pluralistic understanding of “environment” as “nature” and a decolonial stand on peace. We then construct an analytical framework based on the values framework developed by the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) that highlights different worldviews, approaches, notions, and conceptualizations of nature’s contribution to human well-being and implications incorporating Indigenous and local systems of knowledge. Drawing on academic publications that provide empirical and conceptual discussions on the role of nature and environment in peace transformation from diverse regions of the world, we interpret the diverse understandings and valuations of nature in relation to peace. We find that a limited understanding and valuation of nature (and peace) limits the transitions towards a more profound re-mending of the social-ecological relationships that are needed for sustainable peace. We argue that future research should focus on overcoming the ontological bias that persists in the literature at the nexus of peace and the environment.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| 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