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Record W4393174091 · doi:10.24260/jkipp.v2i1.1258

PENGEMBANGAN BAHAN AJAR TEMATIK BERBASIS KEARIFAN LOKAL KALIMANTAN BARAT PADA KELAS III TEMA 5 DAN 6 SD/MI

2023· article· id· W4393174091 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJurnal Karya Ilmiah Pendidik dan Praktisi SD&MI (JKIPP) · 2023
Typearticle
Languageid
FieldSocial Sciences
TopicEducational Research and Methods
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsPsychologyPhysics

Abstract

fetched live from OpenAlex

Penelitian ini dilakukan untuk mengetahui pengembangan bahan ajar tematik berbasis kearifan lokal Kalimantan Barat pada Kelas III Tema 5 dan 6 Sekolah Dasar/Madrasah Ibtidaiyah. Untuk memudahkan peneliti mengambil data, maka peneliti menjabarkan tujuan khusus yaitu mengetahui aspek isi materi, aspek penyajian materi, aspek desain dan aspek bahasa dalam proses pengembangan bahan ajar berbasis kearifan lokal Kalimantan Barat. Penelitian menggunakan jenis penelitian R&D (Research And Development) dengan menggunakan model 4-D (Define,Design,Develov,Dessiminate). Selain itu, peneliti juga menggunakan pendekatan kualitatif untuk data-data penelitian yang bersifat kualitatif. Sumber data dalam penelitian ini yaitu hasil penilaian validator terkait tentang penilaian validasi isi materi, validasi penyajian materi, validasi desain dan validasi bahasa. Hasil validasi data dapat disimpulkan bahwa: Validasi bahan ajar tematik berbasis kearifan lokal Kalimantan Barat pada kelas III tema 5 dan 6 Sekolah Dasar/Madrasah Ibtidaiyah oleh enam validator. 1) Validator isi materi berada pada kriteria “Sangat Validan dan Tidak Revisi” dengan persentase sebesar 88,34%. 2) Validasi oleh validator penyajian materi berada pada kriteria “Sangat Valid dan Tidak Revisi” dengan persentase 97,14%. 3) Validasi oleh validator desain buku berada pada kriteria “Sangat Valid dan Tidak Revisi” dengan persentase 99,61%. 4) Validasi oleh validator bahasa berada pada kriteria “Sangat Valid dan Tidak Revisi” dengan persentase 90%.

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 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)0.011
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.141
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.005
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.005
Science and technology studies0.0050.002
Scholarly communication0.0020.002
Open science0.0040.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0050.004

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 head0.053
GPT teacher head0.381
Teacher spread0.328 · 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