Biofuel Production Induced Land-use Land-cover Change in Selected Geopolitical Zones of Nigeria
Bibliographic record
Abstract
Biofuel production activities have been reported in Nigeria but with not much focus on the environmental impacts. The study was restricted to three geographical zones of Nigeria where industrial-scale biofuel production activities have been reported. An <em>in-situ </em>visit to each zone was used to select the Area of Interest (AoI), which comprised of an industrial-scale production activity and its environment. The AoI was clipped on Landsat 2006 and NigeriaSat-X 2012 images. The feature space of the AoI was classified into the different land use and land cover classes to derive the change statistics. Changes in the vegetation density of the AoI were also carried out. The results showed increased human presence and decreased vegetation in the three zones, while there was an increase in the area occupied by farm land or cultivated areas and bare ground. The study concluded on the need for an early monitoring of the biofuel production activities in Nigeria so that the country can maximize the benefits.
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 | 0.001 | 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 | 0.001 |
| 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".