Business for peace: How entrepreneuring contributes to Sustainable Development Goal 16
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
We examine entrepreneurial ventures in a post-conflict context to identify practices that are helpful for companies operating in conflict zones while contributing to the United Nations’ Sustainable Development Goal 16 (SDG 16)—Peace, Justice, and Strong Institutions. Using emancipatory entrepreneuring as our theoretical lens, we analyze entrepreneurial ventures where ex-combatants seek to create economic opportunities and challenge the status quo of violence, poverty, and inequality in their rural communities. We develop four qualitative case studies of ex-combatant entrepreneurship to identify the activities that enable them to grow their businesses while promoting peace. We identify actor distance and entrepreneurial stage as key dimensions for defining a matrix of relationship arrangements that facilitate venture success and peacebuilding efforts. We conclude with a summary of our contributions and implications for research and practice. JEL Classifications: D63, D74, H56, L14, L26
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 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 it