Kajian Elemen Pembentuk Citra Kota di Kawasan Pusaka Civic Center Guna Meningkatkan City Branding Kota Pangkalpinang
Bibliographic record
Abstract
Kota akan selalu berubah karena pertumbuhan penduduk, pembangunan infrastruktur, perubahan sosial budaya, perkembangan ekonomi, dan lingkungan. Perubahan ini memberikan identitas baru dan membentuk citra kota. Kawasan Pusaka Civic Center di Kota Pangkalpinang merupakan kawasan pariwisata yang ditetapkan sebagai daya tarik wisata yang perlu ditingkatkan untuk meningkatkan branding Kota Pangkalpinang. Kajian elemen citra kota dilakukan dengan metode deskriptif kualitatif. Hasil dari kajian elemen citra kota ini menunjukkan bahwa Kawasan Pusaka Civic Center memiliki elemen pembentuk citra kota yang lengkap, sehingga dapat dijadikan kawasan untuk meningkatkan branding Kota Pangkalpinang.
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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 | 0.002 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.041 | 0.003 |
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".