Built-up area expansion in the Wa Municipality of Ghana: implications for vegetation cover loss and fragmentation
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
This study draws on the patch-mosaic model and uses geospatial and statistical methods to assess vegetation fragmentation specifically from built-up area expansion between 1990 and 2018 in the Wa Municipality of Ghana. The study finds that 0.19% and 0.33% annual expansion in the built-up area from 1990-2006 and 2006-2018 contributed to annual vegetation patch size variability (coefficient of variation in the patch size) of 1.82% and 120.97% from 1990-2006 and 2006-2018, respectively. Our results suggest that a higher rate of increase in built-up area would likely create larger quantities of intermixed vegetation and built-up patches.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it