AKURASI METODE CONCORDANCE BERDASARKAN PANJANG TES DAN UKURAN SAMPEL
Bibliographic record
Abstract
Tujuan dari penelitian ini adalah untuk mengevaluasi program praktek kerja industri dari Siswa Sekolah Menengah Kejuruan Negeri. Model Kesenjangan (DEM) yang digunakan dalam penelitian ini didukung oleh teknik pengumpulan data melalui observasi, wawancara, distribusi kuesioner, dan pengumpulan dokumen terkait. Analisis data dilakukan sesuai dengan aspek yang akan dievaluasi (terdiri dari definisi, instalasi, proses, dan produk) dan kriteria evaluasi. Temuan penelitian menunjukkan bahwa program memiliki dasar regulasi yang cukup jelas, menyiapkan instalasi oleh pemerintah, proses yang baik, dan memiliki perbedaan gap untuk membuat koreksi di masa depan. Berdasarkan temuan, dapat disimpulkan bahwa program praktek kerja di industri di Sekolah Menengah Kejuruan Negeri telah dilaksanakan dengan baik.
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How this classification was reachedexpand
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 | 0.002 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".