PENINGKATAN KEMAMPUAN KEPALA SEKOLAH DALAM MENYUSUN RENCANA PENGEMBANGAN SEKOLAH (RPS) MELALUI PEMBINAAN BERKELANJUTAN DENGAN METODE WOKSHOP TAHUN 2019
Bibliographic record
Abstract
Berdasarkan hasil analisis pada masing masing siklus menunjukkan peningkatan Kinerja Kepala Sekolah dalam menyusun Rencana Pengembangan Sekolah (RPS) yakni: peningkatan banyaknya Kepala Sekolah yang mampu menyusun Rencana Pengembangan Sekolah (RPS) dari siklus I ke siklus II. Dengan demikan dapat disimpulkan bahwa melalui kegiatan Workshop dapat meningkatkan Kinerja Kepala Sekolah dalam menyususn Rencana Pengembangan Sekolah (RPS) pada Rayon 2 yang ada di Pandeglang, Dengan workshop kemampuan Kepala Sekolah dapat ditingkatkan, utamanya kemampuan menyusun RPS yang sebelumnya mereka beranggapan bahwa RPS adalah pelengkap administrasi kepala sekolah belaka. Hal ini dibuktikan dengan memperoleh nilai 72,14 pada siklus I dan meningkat menjadi 85,71 pada siklus II.
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 | 0.001 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.027 | 0.004 |
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".