PELATIHAN KAJIAN ANALISIS SASTRA MEMBANGUN KETERAMPILAN DIRI DENGAN KEMAMPUAN MENGANALISIS IMAJINASI SASTRA BAGI MAHASISWA IKIP PGRI SEMARANG
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
AbstrakThis training was done in the field of the education and science development. In this field, literature has a role in language in order to be fundamental in supporting the students?óÔé¼Ôäó skill in analysing language in the scope of literature. Students need to have a skill in how they analysis the leterature that usually they find it in their daily life. This training had several steps; first, the introduction of literature. Secondly, introduction of mehod of reserach. Third, the application of literature in the real articles. And last, evaluation and improvement. So that, there should be a medium in accomodating the research of literature which are conducted by students of Indonesian Department. The evaluation of this traning was giving the material and practical analysis through the intensive guidance by lecturers as well as encouraging them to accomplish their final project (thesis).Key words; traning, language, literature
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 | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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