KORBAN ALIH FUNGSI LAHAN DI KELURAHAN SETIANAGARA, KECAMATAN CIBEUREUM, KOTA TASIKMALAYA, JAWA BARAT
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
Cibeureum District is one of the four sub-districts in the City of Tasikmalaya with the highest reduction in paddy fields area. The study was conducted in Setianagara which is included in the LP2B (Sustainable Food Agricultural Land) area but is still experiencing lang conversion. This study aims to determine the profile of victims of land use change, push and pull factors switching land use, and the condition of the victims before and after land use change. The design in this study used a qualitative descriptive design and research techniques using case studies. The information obtained comes from interviews and observations. Informants in this study are victims of land use change. The results showed that the factors driving the conversion of land originated from self and coercion, while the pull factors came from the buyers of the paddy fields and coercion. The situation of farmers before and after land use change has changed for the worse, more stable, and better.
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) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.006 |
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