Development and conservation: indigenous businesses and the UNDP Equator Initiative
Bibliographic record
Abstract
Does indigenous entrepreneurship have distinctive features? We explored resources used, benefits produced and nature of partnerships in 42 indigenous cases in the UNDP Equator Initiative database, mainly involving forestry, agro-forestry, agriculture, NTFPs, ecotourism and protected areas. The cases showed a strong focus on social enterprise and cultural values, and politics of resource access. Many indigenous groups sought control over their traditional lands as essential to rebuilding their societies, and indigenous entrepreneurship was often used as a tool towards self-governance. The cases were characterised by extensive networks, with a large number of partners at the same level of social and political organisation (horizontal inkages). Vertical linkages typically involved three or four levels of political organisation. These connections went far beyond business networking and included, for example, environmental knowledge building. Partnerships for training and institution building often involved NGOs or local-level government agencies or both, but rarely (N=2) non-indigenous joint ventures.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".