Lingkungan Hidup dan Sumberdaya Alam: Refleksi RPJPN 2005-2025 dan Visi 2025-2045
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
Makalah ini meninjau kondisi lingkungan hidup dan sumber daya alam Indonesia dalam Rencana Pembangunan Jangka Panjang (RPJP) 2005-2025, melakukan refleksi terhadap tantangan-tantangan yang dijumpai, serta menyumbangkan visi untuk pembangunan sektor yang sama untuk periode RPJP 2025-2045. Lebih spesifik ditinjau masalah kualitas lingkungan hidup, ketahanan air, ketahanan energi dan kemandiran pangan serta peran daerah pesisir dan kelautan dalam kurun RPJP 2005-2045. Menghadapi permasalahan-permasalahan yang dijumpai, makalah ini mengusulkan visi pembangunan serta sejumlah rekomendasi secara spesifik mengenai pembangunan lingkungan hidup dan sumber daya alam untuk dikembangkan dalam RPJP 2025-2045.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.006 |
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