ANALISIS PERANAN SEKTOR PERTANIAN DAN PENGEMBANGANNYA DI KABUPATEN BURU
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
The agricultural sector as one of the economic sectors is a very potential sector in contributing to regional economic development. This research was conducted to determine the contribution of agricultural secrtor to GDRP, the position of the food crop, horticulture, plantation, and livestock sub sector and its development strategy in Buru Regency. The study used contribution analysis method, analysis of Location Quotient (LQ), Dynamic Location Quotient (DLQ) and SWOT analysis. The results of the study showed that the agricultural sector contributed greatly to Buru Regency GDRP with its four sub sectors being the base sub-sector and the basis for the future was livestock sub-sector. The strategy undertaken in developing the four agricultural sub sectors was an agressive strategy that uses power to utilize existing opportunities.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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