Assessment of landslide susceptibility at Canada Hill in Miri, Sarawak / Marelyn Telun Daniel
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
Landslide occurrences have become a common sight in Miri, Sarawak due to the combination of unfavourable geological conditions, abundant rainfall and anthropogenic factors which leads to infrastructural damages following prolonged rainfall. Two of the major landslide events caused the demise of two lives and several damaged houses at Kampung Lereng Bukit. Events like this may recur if the landslide hazards are not effectively managed. Numerous studies on landslide susceptibility have been performed by researchers using different approaches. This study aims to evaluate the landslide susceptibility of Canada Hill area in Miri using a heuristic approach and bivariate statistical approach which could be helpful in future planning works. Nine landslide-controlling parameters consisting of planar failure susceptibility, slope gradient, geology, elevation, distance to lineament, slope curvature, normalized difference vegetation index (NDVI), slope aspect and cut and fill were analysed in this study, with the means of Geographic Information Systems (GIS). The susceptibility maps produced from the two methods were classified into five zones of susceptibility; very low, low, moderate, high and very high. The results of the susceptibility map produced using the heuristic approach showed a 74% success rate while this is 80.8% in the case of the bivariate statistical approach. The comparison of the two susceptibility while highlighting the major planar failures showed that the landslide susceptibility map produced by the heuristic approach showed a better agreement for all the types of failure occurrences, including the major planar failures while the landslide susceptibility map produced using the bivariate statistical approach showed a better agreement for the translational and shallow rotational failures.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| 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