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Record W6887727652 · doi:10.17605/osf.io/539uj

PENGEMBANGAN LITERASI DI PESANTREN MODERN INTERNASIONAL DEA MALELA

2018· article· id· W6887727652 on OpenAlexaboutno aff

Bibliographic record

VenueOSF Preprints (OSF Preprints) · 2018
Typearticle
Languageid
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsnot available
Fundersnot available
KeywordsCanadian literatureFederal courtGovernment (linguistics)

Abstract

fetched live from OpenAlex

Setelah diberlakukannya Permendikbud No. 23 Tahun 2015 tentang Penumbuhan Budi Pekerti, setiap penyelenggara pendidikan berkewajiban untuk menumbuhkan minat baca, tidak terkecuali Pesantren Modern Internasional Dea Malela (PMI-DM). Pembelakuan tersebut tentu sebagai upaya memperbaiki literasi, sains, dan matematika. Hal ini merujuk hasil Psychological International Student Assessment (PISA, 2015) yang menempatkan Indonesia pada urutan 64 dari 72 negara. Sebaliknya, dari sisi daya saing, berdasarkan The Indonesia Competitiveness Report 2011 menempatkan Indonesia pada urutan 41 dari 140 negara. Sebagai penyelenggara pendidikan, PMI-DM telah menerapkan Permendikbud tadi, yaitu menumbuhkan minat baca melalui tiga tahap: (1) tahap pembiasaan, (2) tahap pengembangan, dan (3) tahap pembelajaran. Dalam praktiknya, PMI-DM telah melakukan pola-pola pembiasaan, seperti: mewajibkan santri membaca selama 15 menit sebelum mengikuti pelajaran, manata sarana belajar secara teratur dan rapi. Namun demikian, kontinuitas pembiasaan ini harus ditunjang oleh pengembangan ketika sedang dan atau tidak berada dalam kelas. Pola-pola pengembangan yang dimaksud, antara lain: (1) santri menulis komentar singkat pada jurnal yang telah disediakan, (2) menaggapi isi buku baik lisan maupun tulisan, (3) indikator ketercapaian program.

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 imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.769
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0050.005
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.2560.748

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.

Opus teacher head0.029
GPT teacher head0.310
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designOther design
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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