Bibliographic record
Abstract
Guru Bimbingan dan Konseling senantiasa memberikan suatu Layanan professional kepada peserta didik yaitu mendidik, membimbing, melatih dan mengembangkan serta mengentaskan permasalahan peserta didik merupakan bagian dari kinerja Guru BK yang akan membantu peserta didik mengoptimalkan potensinya secara optimal. Kurikulum merdeka Belajar merupakan suatu trobosan baru yang membawa beberapa perubahan dalam segi pembelajaran.. Keberhasilan guru dan peserta didik dalam mempraktekan pembelajaran daring secara optimal dalam kurikulum merdeka belajar juga akan berdampak pada perkembangan daya berpikir para peserta didik. Pada praktek pembelajaran secara daring, dengan kurikulum merdeka belajar pendidik/guru BK memiliki peranan penting yaitu tidak hanya memberikan materi saja tetapi pendidikan karater juga sangat penting dan berguna bagi perilaku peserta didik, dengan cara guru tidak hanya sekedar memberikan materi secara percuma akan tetapi dapat memberikan contoh kepada peserta didik, sehingga peserta didik mampu untuk berdedikasi dan berinovasi dalam kurikulum merdeka belajar.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.025 | 0.009 |
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".