Spatial Configuration of Fishing Village in Bagan Deli Belawan Medan Indonesia
Bibliographic record
Abstract
Spatial planning in the context of configuration will form a balance of spatial patterns and structures. Spatial patterns related to factors that influence such as spatial patterns formed by economic, social, religious, political, government regulations and natural factors. Based on the above factors, this research has several problems, namely the influence of activity in forming the relationship between spaces, then how the relationship pattern of space is formed, and how it is configured in the settlements of the fishing village of Bagan Deli in Belawan Medan. To assist in the process of this research, several methods were chosen. The method used is the method of determining the location by considering which location is good to be researched and determined intentionally (purposive method), then the method of determining variables by first identifying interpretations of theoretical foundations, and methods of data analysis that produce activity discoveries that influence the formation of the relationship between space, then the relationship between the space formed in the settlements of the fishing village, and the spatial configuration in the fishing village of Bagan Deli in Belawan Medan.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".