From ‘Dirty Boots’ to ‘Distant Friends’: How A Colombian Social Intermediary Integrates Communities through Entrepreneurship
Bibliographic record
Abstract
Abstract Through an abductive qualitative case study of a Colombian peacebuilding NGO, we explore how social intermediaries facilitate the integration of fragmented ex‐combatant and campesino communities. Our analysis reveals a three‐stage process by which the social intermediary simultaneously engages in enterprise‐focused and community‐focused activities to transform loosely connected ‘communities of circumstance’ into tightly integrated ‘communities of choice’. First, the intermediary uses ‘dirty boots’ to establish itself as a trusted, shared relationship between communities. It then employs an ‘accompaniment’ approach to cultivate shared spaces , shared practices , and shared interests among community members engaging in collective entrepreneurial activities. Finally, it shifts to ‘distant friends’ as it encourages communities to embrace a shared future together. By clarifying how intermediaries can use entrepreneurship as a force for community integration, particularly within necessity contexts of conflict and poverty, we contribute to research on social intermediaries, communities, and entrepreneurship as a tool to address grand challenges.
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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) | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".