TRANSFORMASI FISIK WILAYAH PERI URBAN DI KELURAHAN MADEGONDO KECAMATAN GROGOL KABUPATEN SUKOHARJO
Bibliographic record
Abstract
The peri-urban area is a strategic area to support the surrounding city needs. The increasing lack of urban areas makes peri-urban areas a potential new destination for city development, because of lower peri-urban land prices, large land reserves, and ease of access to a nearby city. Kelurahan Madegondo (The Administrative Village of Madegondo) is a peri-urban area directly adjacent to the Southern part of Surakarta. Defined as an administrative village, this area has developed and transformed to be a more of an urban area. This research focus on identifying transformations happened in Madegondo in the period of 15 years, specifically from 2002 to 2017. Using Geographic Information System (GIS) and System for Automated Geoscientific Analyses (SAGA) in the process. This study has identified many crucial transformations occurred in Madegondo. Major land-use change has occurred in the period of 15 years, 54 hectares of non-covered land has itself covered with buildings. Building density has shifted in 15 years from mid-density (40,82%) to very high-density (78,39%). Another change identified is circulation transformation, which characteristics have grown to be more complex in 2017.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".