Community-based enterprises: The significance of partnerships and institutional linkages
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
Community-based institutions used to be driven by local needs, but in recent decades, some of them have been responding to national and global economic opportunities. These cases are of interest because they make it possible to investigate how local institutions can evolve in response to new challenges. A promising set of cases comes from the UNDP Equator Initiative, a program that holds biennial searches to find and reward entrepreneurship cases that seek to reduce poverty and conserve biodiversity at the same time. What can we learn from these local entrepreneurship cases that seem to be playing at the global level? Here we focus on partnerships and horizontal and vertical linkages in a sample of ten Equator Initiative projects. We find that successful projects tend to interact with a large array of support groups, typically 10 to 15 partners. Based on information from on-site research, these partners include local and national NGOs; local, regional and (less commonly) national governments; international donor agencies and other organizations; and universities and research centers. These partners provide a range of services and support functions, including raising start-up funds; institution building; business networking and marketing; innovation and knowledge transfer; and technical training. These findings indicate that a diverse variety of partners are needed to help satisfy a diversity of needs, and highlight the importance of networks and support groups in the evolution of commons institutions.
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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 | 0.001 | 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 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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