Tingkat Kesiapan Masyarakat Kelurahan Laweyan dalam Program Kampung Iklim
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
Memasuki abad ke-21 isu terkait pemanasan global yang memicu perubahan iklim menjadi salah satu masalah yang dianggap serius di berbagai negara. Indonesia berupaya mendorong pelibatan seluruh komponen masyarakat dalam kegiatan dan aksi terkait iklim, salah satunya melalui program nasional bernama Proklim (program kampung iklim). Keberhasilan program tidak terlepas dari peran masyarakat dan pemangku kepentingan lainnya yang dibekali dengan pengetahuan, keterampilan, serta sumber daya lainnya. Penelitian ini memiliki tujuan untuk mengetahui tingkat kesiapan masyarakat dalam program kampung iklim. Dalam penelitian ini metode yang digunakan adalah skoring menggunakan Community Readiness Model (CRM). Proses pengambilan data dilakukan melalui penyebaran kuesioner, observasi, wawancara serta studi literatur. Hasil analisis menunjukkan bahwa skor kesiapan masyarakat dalam program kampung iklim sebesar 4,08 dan masuk dalam tingkat stabilisasi . Sedangkan pemimpin memperoleh skor sebesar 4,12 dan masuk dalam tingkat konfirmasi/ekspansi
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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