Entrepreneurial Activity and Civil War in Colombia : Exploring the Mutual Determinants between Armed Conflict and the Private Sector
Bibliographic record
Abstract
As elsewhere, the Colombian private sector has been accused of promoting or profiting from violence in the country. However, the private sector's role in the armed conflict and the impact of conflict on entrepreneurial activity vary, as reflected by differences in political activism, in peacebuilding strategies and in costs endured according to company size, sector, and region of operations. At the same time, accounts of regional variation in conflict intensity suggest that an understanding of the Colombian confrontation requires a subnational approach. This paper explores whether and how differences in regional armed armed conflict can be attributed to differences in entrepreneurial make-up and activity associated with five natural resources, produced in different regions (oil, coffee, bananas, emeralds, and flowers). This paper suggests that company-specific traits, institutions of production, and the nature of international markets have a significant impact on the link between entrepreneurial activity and armed conflict in Colombian regions.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".