Implikasi Perubahan Pemanfaatan Ruang Terhadap Perubahan Sosial Ekonomi di Kelurahan Tanjung Merdeka Kecamatan Tamalate Kota Makassar
Bibliographic record
Abstract
Salah satu kota besar di Indonesia yang saat ini mengalami pertambahan penduduk yang signifikan adalah Kota Makassar. Bertambahnya penduduk di Kota Makassar senantiasa diikuti oleh bertambahnya bangunan-bangunan permukiman maupun bukan permukiman. Hal tersebut bisa terlihat pada pembangunan Kelurahan Tanjung Merdeka yang kian masa mengalami peningkatan aktivitas pembangunan. Selain itu, harga tanah di kawasan tersebut juga semakin meroket dan menyebabkan alih fungsi lahan secara besar-besaran, tidak terkendali, dan juga mempengaruhi tatanan kesejahteraan komunitas lokal di kawasan tersebut. Tujuan dari penelitian adalah; (1) Menganalisis perubahan pemanfaatan ruang di Kelurahan Tanjung Merdeka; dan (2) Menganalisis implikasi sejauh perubahan pemanfaatan ruang terhadap perubahan sosial ekonomi komunitas komunitas lokal. Metode analisis yang digunakan adalah teknik analisis spasial, statistik kualitatif,dan deskriptif kuantitatif. Hasil dari penelitian ini berupa rekomendasi arahan pemanfaatan ruang dalam mewujudkan kesejahteraan pada komunitas lokal di Kelurahan Tanjung Merdeka.
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.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 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".