PERBAIKAN PEMBELAJARAN IPA DENGAN MENGGUNAKAN MEDIA KONKRET PADA MATERI JENIS-JENIS DAUN DI KELAS IV SD NEGERI 068007 MEDAN TUNTUNGAN
Bibliographic record
Abstract
Dari pengamatan pembelajaran melalui video yang telah dibuat oleh guru diperoleh informasi cara pembelajaran guru yang tidak menggunakan alat peraga dalam mengajar. Mata pelajaran yang diajarkan dalam video tersebut adalah mata pelajaran IPA dengan materi bentuk-bentuk daun. Metode yang digunakan guru saat mengajar adalah dengan menggunakan metode ceramah. Terlihat dari video tersebut, siswa tidak fokus dengan materi yang diajarkan guru, mereka juga merasa bosan karena hanya mendengarkan penjelasan guru.Susana kelas menjadi ribut dan tidak kondusif. Akhirnya siswa tidak memperoleh pengetahuan dari pembelajaran tersebut. Sehingga tujuan pembelajaran seperti yang sudah ditentukan guru di dalam Rencana Pelaksanaan Pembelajan (RPP) tidak tercapai.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.120 | 0.028 |
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".