ANALISIS GENDER PADA KETAHANAN PANGAN RUMAH TANGGA PETANI AGROFORESTRI
Bibliographic record
Abstract
Ketahanan pangan masih menjadi isu global yang mendapat perhatian serius dari berbagai negara internasional. Pertanian dengan sistem agroforestri dapat ditawarkan untuk mengatasi masalah pangan. Namun, permasalahan ketidaksetaraan gender dinilai dapat menjadi penyebab masalah kerawanan pangan. Penelitian ini bertujuan untuk memetakan ketahanan pangan rumah tangga petani agroforestri dan kaitannya dengan pengambilan keputusan rumah tangga serta peran pembagian peran dalam pengelolaan pangan rumah tangga petani agroforestri. Penelitian ini menggunakan metode survei dengan mengambil sampel 60 rumah tangga petani agroforestri di Desa Sukaluyu, Kecamatan Nanggung, Kabupaten Bogor, Jawa Barat. Data kuantitatif dikumpulkan dengan instrumen kuesioner dan didukung dengan data kualitatif melalui panduan wawancara mendalam. Hasil dari penelitian ini menemukan adanya hubungan positif antara pembagian peran gender dengan tipe pengambilan keputusan rumah tangga petani agroforestri. Hubungan positif juga ditemukan antara tipe pengambilan keputusan rumah tangga dalam menentukan alokasi lahan untuk budidaya dengan ketahanan pangan rumah tangga petani agroforestri. Kata kunci: Agroforestri, gender, ketahanan pangan, pengambilan keputusan, rumah tangga
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.002 |
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".