<b>Analisis Kemampuan Lahan di Kabupaten Bangka</b>
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 aims to analyze land capability in Bangka Regency based on nine Land Capability Units (LCU) using a weighted scoring and overlay method. The analysis incorporates spatial data processed through Geographic Information System (GIS) applications such as QGIS. The classification divides the land into five zones: very low, low, moderate, high, and very high capability. The results show that Zone V (very high capability) dominates most of the region, especially in districts like Mendo Barat and Belinyu, indicating strong potential for land development. Conversely, Zone I (very low capability) covers only a minimal area, highlighting its unsuitability for intensive use. Factors influencing land capability include morphology, slope stability, drainage, erosion risk, water availability, and natural disaster vulnerability. These findings provide a spatial basis for sustainable land use planning and are expected to support local government policies in optimizing land utilization while minimizing environmental risks.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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