EVALUASI CAPAIAN INDIKATOR PROGRAM BIDANG EKONOMI PEMERINTAH KOTA MALANG
Bibliographic record
Abstract
Kajian ini dilatarbelakangi oleh perubahan program dari periode lama ke periode baru pemerintahan Kota Malang. Semangat utama kajian ini adalah menganalisis peta transisi program masing-masing urusan dari bentuk program yang lama ke program yang baru Dilaksanakannya kegiatan ini adalah untuk dapat menghasilkan representasi dari kinerja program Bidang Ekonomi di Kota Malang sebagai landasan atau acuan pelaksanaan kinerja RPJMD Kota Malang periode tahun 2018-2023. Selain itu dokumen Evaluasi Kinerja Program Bidang Ekonomi juga merupakan rekomendasi terhadap Pemerintah Daerah Kota Malang, sebagai upaya efektifitas dan efisiensi pelaksanaan pembangunan Kota Malang. Analisis data dilakukan dengan menggunakan teknik evaluasi model CIPP (Contect, Input, Process, and Product). Berdasarkan evaluasi yang dilakukan, penempatan indikator belum merepresentasikan program serta masih banyak keterbatasan data untuk menelaah lebih dalam dan lebih jauh.
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.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 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 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".