PENGGUNAAN CONTEXTUAL LEARNING AND TEACHING DALAM PELATIHAN BAHASA INGGRIS BAGI PASSENGER SERVICE OFFICER KERETA CEPAT JAKARTA BANDUNG
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Dalam rangka Perencanaan Kereta Cepat Jakarta-Bandung (KCJB) yang akan dioperasikan pada akhir tahun 2023, maka perlu adanya layanan yang dipersiapkan dalam melayani calon penumpang adalah Passenger Service Officer on Train (PSOT). Untuk itu kemampuan menggunakan Bahasa inggris bagi PSOT penting untuk menunjang komunikasi penumpang mancanegara. Tujuan dari kegiatan ini adalah memberikan pelatihan Bahasa inggris bagi Passanger Service Officer dengan metode Contextual Learning and Teaching (CTL). Evaluasi kegiatan ini mengunakan google form dengan skala likert. Hasil dari evaluasi kegiatan ini meunjukkan bahwa kegiatan pelatihan memberikan manfaat bagi pekerjaan PSOT dengan hasil evaluasi 75,12% menyatakan sangat baik untuk penampilan dan kemampuan pemateri, dan 73,55% memilih kriteria excellent pada kriteria materi.
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.
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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it