Place - Power - Prognosis: Community-based Conservation, Partnerships and Ecotourism Enterprise in Namibia
Bibliographic record
Abstract
"Namibia???s community-based natural resource management program \n(CBRNM) and communal conservancies have gained international acclaim for \nrural poverty alleviation and wildlife conservation on the commons. Community based ecotourism enterprise development has played a central role in the generation of community revenues, employment and additional benefits. The place of community-based ecotourism enterprises in the evolution of Namibia???s conservancies is examined. A participatory rural appraisal (PRA) approach was conducted in Namibia as part of recent doctoral research in 2006 and 2007, featuring participant observation, semi-structured key informant interviews and structured communal villager interviews. Findings demonstrate some tangible successes of community-based ecotourism enterprise development, as well as \nemerging issues in related benefits distribution and power brokering. The case of the Torra Conservancy is profiled as a leading model for success in partnerships between conservancies, as community-based conservation institutions, and tourism enterprises. The experience of Ehi-rovipuka Conservancy is also detailed, to illuminate challenges and prospects for replicating the Torra model. Power relationships between and among private enterprise, community, and the state are \nelucidated. Ecotourism enterprise development can contribute successfully to community based conservation. But, issues of power sharing, governance and competition necessitate the further evolution of commons institutions to capture future, sustainable benefits from community-based conservation premised on wildlife and related ecotourism development."
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".