KARAKTERISTIK KORIDOR JALAN DITINJAU DARI FISIK RUANG Studi Kasus : Koridor Jalan MT Haryono Kota Kendari
Bibliographic record
Abstract
ABSTRACTUrban economic growth is gradually change the land use from the residential into commercial. This kind of development character could decrease the quality of the physical space and its impact that the cities were losing its’ character. Shop-lined along the road is not good in terms of the aesthetics of the city. These symptoms appear during the difficult of road users to identify their location. The elements in the corridors look physically diverse, random and not unique to easily recognizable because of those problems the need for the study of the physical characteristics of the corridor space Jl. MT Haryono is had to be done which is one of the commercial corridor in Kendari so that it can be seen should be noticed in order to accommodate changes.The method that used in this study is a qualitative method that aims to make a systematic description or picture of the physical characteristics of the corridor space Jl. MT Haryono, stock of knowledge that is presented in the study of the theory does not become limiting the study but is used as an opening insight to recognize the object of research. The analysis technique used is the visual analysis, and descriptive empirical. While the discussion is done by using several approaches. The output generated is the physical characteristics of the corridor space Jl. MT Haryono as seen from the path element, enclosure space, architectural pattern and street trees surrounding the corridor. The research results are influenced by the characteristics of the corridor function ± 80% of commercial buildings including the type of large commercial building plots with a single function or mix-used, and the type of commercial building single row. Commercial buildings represent the value of local distinctiveness and uniqueness in social and economic activities are shown through the decomposing of the southeast Sulawesi’s custom house.Keywords: Characteristics,Corridor
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 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".