The FARC-EP as environmental governance actors: shifting the ecological perspective on war
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
Abstract Environmental protection is widely considered a core function of the state. Yet more than 210 million people currently live under the control of armed non-state actors (ANSAs), many of whom exercise state-like authority over vast, environmentally important territories. Despite growing legal and political science scholarship on ANSAs, their role in environmental protection remains largely unexplored. International law, shaped by conflict-centric frameworks, often fails to account for ANSAs’ non-military dimensions – especially those related to environmental service provision. Similarly, theories of rebel governance have yet to meaningfully incorporate environmental service provision as a governance facet. The article addresses this gap by examining the Revolutionary Armed Forces of Colombia – People’s Army (FARC-EP) in Colombia, drawing on documentary analysis and interviews with former combatants. It shifts the limited ecological perspective on war, arguing that the FARC-EP’s environmental practices amounted to a form of rebel environmental governance – structured, intentional and legally plural. Through this case study, the article challenges dominant narratives that view ANSAs solely as environmental spoilers or incidental protectors and instead advocates for a more comprehensive understanding of their impact as environmental service providers and lawmakers. In doing so, the paper reframes ANSAs as socio-legal actors whose environmental practices merit scholarly attention – particularly in ongoing debates around accountability and transitional justice in conflict-affected regions.
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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 | 0.000 | 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 | 0.001 | 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