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
Landscape connectivity that allows for wildlife mobility requires governance across a tenurial mosaic of managerial units based on reconciliation of social, economic, and ecological objectives. The proposed Kavango-Zambezi (KAZA) Transfrontier Conservation Area (TFCA), which includes Angola, Botswana, Namibia, Zimbabwe, and Zambia, features a spectacular display of mega fauna and a number of tourist attractions such as the Victoria Falls. However, Zambian communal area landholders, who are affected by the TFCA, presently lack sufficient incentives to accommodate the wildlife costs, especially those related to elephants. This article, which is based on long-term observation and recent field research (2005-2007), explores the dynamics of establishing wildlife corridors on Zambian communal land, through an improved communal-state-private sector partnership based on an experimental communal land reform process that addresses social and ecological issues. These issues are discussed using case studies of some chiefdoms on the Zambian side of the Kavango-Zambezi Transfrontier Conservation Area. The paper recommends Zambian policy reform that might address the social, economic, and ecological challenges, with particular reference to elephants, and move the prevailing situation where ordinary rural residents are disempowered relative to the state, traditional leaders, and the private sector.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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