IMPLEMENTASI GERAKAN LITERASI SEKOLAH (GLS) DI SD NEGERI RANON 1 KECAMATAN PAKUNIRAN KABUPATEN PROBOLINGGO
Bibliographic record
Abstract
GLS yaitu kemampuan menelusuri, mengetahui, dan mendayagunakan benda secara cerdas dengan bermacam-macam aktifitas diantaranya membaca, melihat, mendengar, menulis serta berbicara. GLS dilaksanakan secara global guna mentransformasikan sekolah sebagai tempat pembelajaran yang masyarakatnya melek alfabet selama hidup melalui partisipasi masyarakat (Kemendikbud, 2016). GLS partisipatif menyertakan masyarakat sekolah (siswa, pengajar, kepala sekolah, pengawas sekolah, komite sekolah, orang tua siswa), peneliti, dll). GLS mampu membentuk pergerakan yang bersifat sosial melalui dukungan kerjasama berasal berbagai bidang, sehingga menjadi kenyataan berupa kebiasaan membaca peserta didik. Penyesuaian ini dilaksanakan menggunakan aktivitas membaca 15 menit pra-pembelajaran yang bertujuan untuk pengembangan karakter peserta didik melalui penanaman sistem literasi sekolah, yang diimpelentasikan pada GL atau Membaca Sekolah, sebagai akibatnya peserta didik disebut pembelajar sepanjang hayat.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.006 |
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".