PENGUKURAN INDIKATOR PROGRAM PEMBANGUNAN BIDANG EKONOMI KOTA MALANG TAHUN 2021
Bibliographic record
Abstract
Pengukuran Indikator Program Pembangunan Bidang Ekonomi Kota Malang bertujuan sebagai tolak ukur Pemerintah Kota Malang dalam melaksanakan program baru yang terdapat dalam periode Rancangan Peraturan Daerah Perubahan RPJMD Kota Malang Tahun 2018-2023. Adanya penyesuaian program dan target pada RPJMD Kota Malang terbaru, artinya dibutuhkan peta transisi program masing-masing urusan dari bentuk program yang lama ke program yang baru. Bidang ekonomi merupakan salah satu perwujudan misi Rancangan Peraturan Derah Perubahan RPJMD Kota Malang nomor 2 yaitu Mewujudkan Kota Produktif dan Berdaya Saing Berbasis Ekonomi Kreatif, Keberlanjutan dan Keterpaduan. Pengukuran indikator program pembangunan bidang ekonomi meliputi pengukuran pertumbuhan ekonomi, kesempatan kerja dan infrastruktur ekonomi serta evaluasi target dan capaian pembangunan pada urusan kegiatan ekonomi Kota Malang. Analisa yang digunakan ialah analisa indikator pembangunan ekonomi dan evaluasi target capaian program bidang ekonomi. Pada tahun 2020, terdapat sebesar 67% indikator program ekonomi yang telah dilaksanakan dengan tingkat efektivitas sangat tinggi oleh masing-masing perangkat daerah. Indikator tersebut telah diwujudkan dengan berbagai kegiatan dan realisasi yang telah melebihi target.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.038 | 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 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".