KEKUATAN SPASIAL KLUSTER PERKOTAAN DI KABUPATEN SEMARANG
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Semarang Regency has 19 sub-districts with diverse regional growth. Several areas have experienced development into urban areas, such as Bawen District, East Ungaran District, West Ungaran District, Bergas District, Pringapus District, and Ambarawa District. Each sub-district has urban areas with different levels of influence. This research aims to identify urban clusters that are formed in the five sub-districts that are the focus of the study and provide an assessment of the urban areas that have the greatest influence. The research method used is quantitative descriptive. Secondary data collection is carried out through documentation techniques, namely by recording and studying statistical data relevant to the problem being discussed. Urban clusters in West Ungaran and East Ungaran Districts reciprocally provide the greatest spatial influence. The spatial interaction between the Bawen and Ambarawa urban clusters is in second place. The smallest spatial flow occurs between urban clusters in Bergas District and East Ungaran District. It is hoped that this research can provide input to the regional government of Semarang Regency to increase social interaction between Bergas District and Ungaran Timur District, through investment activities and development of several areas for industrial activities or other activities that can increase the attractiveness of the two clusters in these two sub-districts
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.011 |
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 it