IMPLIKASI PENGEMBANGAN PEMBANGUNAN INFRASTRUKTUR KAWASAN JALAN BARU MUARO – AIR MANIS TERHADAP TATA RUANG DI KELURAHAN BUKIT GADO-GADO KOTA PADANG
Bibliographic record
Abstract
This study aimed to find out the implications of the development of the new Muaro – Air Manis Road Infrastructure Development for Spatial Planning in Bukit Gado-Gado Village, Padang City. This study used qualitative approach that produced descriptive data with the intention of conducting research, describing, and analyzing the implications of the development of the Jalan Baru Muaro Infrastructure Development Area – Air Manis Against Spatial Planning in Bukit Gado-Gado Village, Padang City. Data was collected through interview, observation and documentation study. In this study the analyzed data were obtained from interviews and interpreted qualitatively in the form of abstractions, words and statements. The results of the study showthe implications of infrastructure development in the area of Baru Muaro Street - Air Manis for spatial planning in the district of Gado-Gado Hill, Padang City. The implementation of infrastructure development has been carried out in accordance with the spatial strategy carried out covering 3 things, namely : (1) consistent cultural control, (2) strengthen economic base, (3) forming an efficient development unit, but in the implementation there are stil some obstacles faced by both internal and external constraints. The efforts made by the government to marginalize the existing constraints is include in increasing people's understanding of Local Regulation (Perda) No. 4 of 2012 concerning RTRW through socialization and intercession, also increasing infrastructure development in the layout area of Gado-Gado Hill.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".