Environmental Degradation and the Emergence of Agricultural Frontiers in the North West of Cameroon
Bibliographic record
Abstract
Over the past 50 years, man has changed natural ecosystems more rapidly and profoundly than in any comparable period in history. In the developing countries, these changes have degraded livelihoods, provoking different responses from affected populations, the most common being out-migration. The study examines the environmental degradation on the Mbum sector of the Nkambe plateau, North West region of Cameroon, and the out-migration resulting from it. This is crucial in understanding the anthropogenic threats to farming in an area where agriculture is still rudimentary and crop yields turn to be very sensitive to environmental changes. The nature of environmental degradation and resultant migration were ascertained by analysing data acquired through suitable field and laboratory methods and techniques. Theses analysis revealed that soil impoverishments resulting from inappropriate land uses is the main environmental change on the plateau. The paper recommends the adoption of strong land use policies as a precursor to the modernisation of the farming system to reduce land colonisation, reduce out-migration and stabilise environmental conditions for sustainable agriculture.
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.
How this classification was reachedexpand
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 | 0.002 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".