REFLEKSI AKHIR TAHUN DI SATUAN PENDIDIKAN (SMP PRIMBANA MEDAN)
Bibliographic record
Abstract
Primbana Medan Middle School is one of the schools selected in the driving school program. Primbana Middle School received training from facilitators from the driving school program. Every month this school attends a meeting with the facilitator via zoom meeting/google meet to evaluate the results of the independent learning curriculum at the school. At the end of the 2022/2023 academic year, a year-end reflection was held to assess how the results of the Free Learning Curriculum program were at the school. The teaching method that we use is group discussion so that it makes it easier for fellow teachers to explain the results of reflection on learning according to the subject group taught and explained using cardboard that has been completed by the school, then fellow teachers explain in turn to see the effect in teaching in a better direction. Fellow teachers are better prepared for the demands of the independent learning curriculum and are more prepared to carry out activities related to the independent learning curriculum. Students are better prepared and trained to explore the basic knowledge they have and can develop it.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.039 | 0.013 |
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".