REVIEW TARGET DAN CAPAIAN INDEKS PEMBANGUNAN BIDANG SOSIAL KOTA MALANG TAHUN 2020
Bibliographic record
Abstract
Review capaian kinerja pemerintahan adalah agenda tahunan yang harus dilaksanakan sesuai dengan amanat peraturan perundang-undangan. tidak hanya itu, tahun 2020 mengharuskan pemerintah untuk menelaah dampak pandemi terhadap target yang telah ditetapkan. Kota Malang memiliki 4 Misi dalam mencapai visi besarnya yang salah satu dari keempat misi tersebut disebut sebagai pembangunan bidang sosial kota malang. Penelitian inimenggunakan pendekatan Multi-methods yang memungkinkan peneliti menggunakan beberapa metode penelitian sesuai dengan kebutuhan penelitian. Hasil dari penelitian ini menunjukkan bahwa pandemi tidak berdampak begitu besar terhadap ketercapaian kinerja terhadap target baik dampak positif maupun negatif dalam pembangunan bidang sosial di Kota Malang. Beberapa indikator yang digunakan memerlukan kajian khusus terkait signifikansinya terhadap indikator diatasnya sehingga dari tahap program hingga tujuan berkesinambungan sesuai konsep Urban Sustainable Development.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".