Metodologi Penelitian Derajat Kepublikan Ruang Terbuka Publik Perkotaan
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
Derajat kepublikan (degree of publicness) adalah satu pendekatan untuk menilai sejauh mana sebuah ruang terbuka bersifat publik. Pendekatan ini berkembang pesat selama dua puluh tahun terakhir, khususnya di Eropa dan Amerika Serikat. Artikel ini menjelaskan tentang dinamika dan perkembangan penelitian derajat kepublikan melalui kajian literatur. Terdapat delapan jurnal ilmiah dan satu buku yang dikaji secara kualitatif menggunakan metode analisis isi. Artikel ini menemukan bahwa kunci dari derajat kepublikan adalah penyesuaian indikator-indikator terhadap konteks tempat dan budaya sebuah ruang terbuka publik perkotaan. Di Indonesia, konteks budaya dalam proses pengembangan kota dan identifikasi kekhasan lokal menjadi dua hal penting dalam menerapkan pendekatan derajat kepublikan.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.009 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 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 it