Analysis of Landslide Vulnerability in Agribusiness Development Efforts Environmental Insight in Ngargoyoso District
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
<p><em>The area of Ngargoyoso Subdistrict, Karanganyar Regency, has geosphere conditions that have the potential to be developed for agribusiness crops, but are prone to landslides. In it’s development, it is necessary to integrate considerations of productivity and land sustainability by considering the carrying capacity of the land through the identification of landslide vulnerabilities. The objectives of this research are: (1) To determine the vulnerability of landslides in the Ngargoyoso District, (2) To determine the direction of land conservation for sustainable agricultural land development in Ngargoyoso District. The unit of analysis is in the form of land unit which is the result of overlapping between rock, soil, slope and land use units. The method of determining landslide vulnerability uses the scoring method of landslide determining parameters. The results of the research were (1) high landslide susceptibility area of 4,797.25 hectares (78.13%), moderate landslide susceptibility area of 1,343.26 hectares (21.87%), and (2) conservation directions in the form of zoning for seasonal agricultural land and manufacturing. terracing by paying attention to the slope and depth of the solum.<strong></strong></em></p>
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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