Navigating Formal and Informal Processes: Civic Organizations, Armed Nonstate Actors, and Nested Governance in Colombia
Bibliographic record
Abstract
ABSTRACT Despite the recent surge of scholarship on the role that civic organizations play in armed conflicts and postconflict settings, there is little consensus on how they interact with armed nonstate actors. This article examines how disparate armed nonstate actors can co-opt and manage preexisting civic organizations, and even create new ones, to embed themselves in civilian communities and perform governance functions while simultaneously advancing their ideological agendas. Employing a comparative historical analysis between two armed nonstate units in Colombia, one from a Marxist insurgent group and the other from a counterinsurgent paramilitary organization, the study demonstrates that regardless of their different ideological motivations, regional settings, and repertoires of violence, these actors could navigate formal processes related to legal economies, electoral contests, and bureaucratic-administrative institutions, and informal processes tied to illicit rackets and territorial and population control, more efficiently through their skilled management of local civic organizations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".