Perubahan Penggunaan Lahan Di Kecamatan Parigi Kabupaten Parigi Moutong
Bibliographic record
Abstract
Kecamatan Parigi terus mengalami perubahan penggunaan lahan yang pesat, mulai dari pembangunan kawasan perkantoran, permukiman, perdagangang dan jasa serta sarana prasarana, seiring berjalannya waktu perubahan lahan terus mengalami perkembangan dari lahan lahan kosong berubah menjadi lahan terbangun dan lahan pertanian berubah menjadi non pertanian serta lahan pertanian berubah menjadi permukiman. Penelitian ini memiliki tujuan Menganalisis perubahan penggunaan lahan dan jenis perubahan penggunaan lahan di Kecamatan Parigi dalam kurun waktu 10 tahun terakhir dan menganalisis pola sebaran penggunaan lahan di Kecamatan Parigi dalam kurun waktu 10 tahun terakhir di Kecamatan Parigi dengan metode deskriptif kualitatif, analisis overlay dan analisis nearest neighbor dari hasil analisis yang di gunakan hal yang ingin di capai iyalah melihat perubahan penggunaan lahan yang terjadi pada tahun 2010 hingga 2021, serta pola sebaran permukiman.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.005 |
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".