Bibliographic record
Abstract
Perkembangan ilmu pengetahuan dan teknologi yang begitu pesat di abad 21 salah satunya berimbas pada dunia pendidikan, khususnya pada pendidikan di Indonesia. Salah satu komponen penting dalam pendidikan adalah guru. Guru dalam konteks pendidikan mempunyai peranan yang besar karena guru berada di barisan terdepan dalam pelaksanaan pendidikan dan berhadapan langsung dengan peserta didik. Dengan kemajuan teknologi, berdampak pada fungsi utama guru yang mana tidak lagi hanya sebagai satu-satunya sumber informasi. Meskipun demikian, hal itu tetap tidak bisa menghilangkan peranan guru dalam proses pendidikan. Pada abad 21 ini, guru harus membekali kecakapan keterampilan dan kompetensi khusus yang tentu berbeda dengan guru di abad sebelumnya. Dengan melakukan akselerasi terhadap perkembangan informasi dan komunikasi dalam proses belajar mengajar diharapkan guru dapat mengatasi berbagai tantangan yang ada di abad 21 sekarang.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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 teacher head, 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".