Perencanaan Pembangunan Ekonomi Wilayah Berbasis Pertanian dalam Rangka Pengurangan Kemiskinan di Kalimantan Barat
Bibliographic record
Abstract
Agriculture-based economic development planning is one of the efforts to reduce poverty in West Kalimantan by synergizing the performance of regional finance and agriculture sectors. The present study aimed at identifying relationship between the performance of regional finance, the performance of agriculture sector and poverty level of West Kalimantan. Analytical tools used to achieve the objectives of this research were descriptive statistics and panel data methods. The results show a positive relationship between the performance of regional finance and agriculture sectors. Gradual reallocation of agricultural budget can be an option for government to determine annual budget. Increase in preparatory investment and reallocation of regional government investment is a necessary policy to give allocation priority for agriculture sectors development. The agriculture sectors, in this case the segment of agriculture sectors on GRDP of West Kalimantan, negatively affect the poverty level. The development of agriculture sectors run by the government should be followed by the increase in human resources quality.
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How this classification was reachedexpand
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".