RESPONS MASYARAKAT DESA HUTAN PASCA PENETAPAN PERHUTANAN SOSIAL
Bibliographic record
Abstract
Kementerian Lingkungan Hidup dan Kehutanan mengeluarkan peraturan baru mengenai Program Perhutanan Sosial di wilayah kerja Perhutani yang bertujuan untuk mengurangi ketimpangan lahan dan mewujudkan pemerataan ekonomi. Respons positif masyarakat diperlukan agar program terlaksana dan tujuan tercapai. Tujuan dari penelitian ini adalah menganalisis transformasi tata kuasa hutan Gunung Haruman, tingkat kapasitas individu petani hutan pra Perhutanan Sosial, dan respons masyarakat desa hutan terhadap Perhutanan Sosial. Metode yang digunakan dalam penelitian ini adalah pendekatan kuantitatif yang didukung data kualitatif yang dianalisis dengan uji regresi linier sederhana. Sampel yang dipilih sejumlah 40 orang dengan menggunakan teknik sampel acak sederhana. Hasil penelitian menunjukkan kapasitas individu petani hutan memberikan pengaruh yang signifikan terhadap respons yang diberikannya pada Program Perhutanan Sosial dengan kontribusi sebesar 12.8% dan nilai signifikasi sebesar 0.024 (p<0.05). Respons yang diberikan oleh masyarakat berupa respons positif untuk menyertakan dirinya dalam pelaksanaan Program Perhutanan Sosial. Kata kunci: Kapasitas MDH, Perhutanan sosial, Respons MDH
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.039 | 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".