Elemen Pembentuk Citra Kawasan Bersejarah Di Pusat Kota Malang
Bibliographic record
Abstract
The study of the image of an area needs to be done to find out the identity of the place. District of Klojen is an area that has a legacy of historic buildings and environment in the Dutch colonial era, therefore it is necessary to study the image of the District Klojen kawasan bersejarah.This study aims: (1) analyze the imageforming elements in the historic district based on the perception of residents Klojen District of Malang, and (2) analyze the factors that influence respondents in identifying the image-forming elements in the historic district Klojen. Malang resident perception is divided into three groups, ie community groups, students, and experts. The method are used descriptive analytical and evaluative analysis. Descriptive methods isused to analyze the elements of the image forming region, using mental maps and interviews. Evaluative analysis used to analyze the factors that influence respondents to identify the image of the historic district, and to review the typology of perception of the respondents use the gestalt theory. The results are (1) image of the historic downtown district that is Klojen still can’t properly captured by the inhabitants of the city of Malang, and the District Klojen still highlight the historic image, (2) factors that influence respondents' perceptions are internal factors and external. Typology of perception, internal factors and external factors had ties in identifying the image of the historic district. Key words: image, historic, gestalt theory, mental maps.
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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 | 0.000 |
| Science and technology studies | 0.002 | 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) | 0.014 | 0.001 |
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".