Ketahanan Pangan Kota Surakarta Sebagai Kota Urbanisasi di Jawa Tengah
Bibliographic record
Abstract
Ketahanan pangan merupakan isu krusial bagi daerah perkotaan yang mengalami urbanisasi pesat, seperti Surakarta di Jawa Tengah. Penelitian ini menyelidiki kondisi ketahanan pangan di Surakarta dan implikasinya terhadap keberlanjutan dan ketahanan kota. Menggunakan metode studi pustaka, penelitian ini mengeksplorasi berbagai aspek ketahanan pangan, termasuk ketersediaan pangan, akses, pemanfaatan, dan kestabilan. Temuan penelitian menunjukkan bahwa urbanisasi di Surakarta telah meningkatkan permintaan pangan, mengubah rantai pasokan pangan, dan menghadapi tantangan terkait distribusi dan keterjangkauan pangan. Faktor-faktor utama yang mempengaruhi ketahanan pangan di Surakarta meliputi perubahan penggunaan lahan perkotaan, ketimpangan ekonomi, dan efektivitas kebijakan serta program pangan yang ada. Penelitian ini menekankan perlunya pendekatan terintegrasi untuk meningkatkan ketahanan pangan, seperti memperbaiki pertanian perkotaan, memperkuat sistem pangan lokal, dan memastikan koordinasi yang lebih baik di antara para pemangku kepentingan. Dengan mengatasi area-area tersebut, Surakarta dapat meningkatkan ketahanan pangannya dan mendukung populasi yang berkembang lebih efektif.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.033 | 0.004 |
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".