MétaCan
Menu
Back to cohort
Record W4388474586 · doi:10.31605/phy.v5i2.2202

UPAYA PENGEMBANGAN LITERASI SAINS SISWA BERBASIS E-BOOK

2023· article· id· W4388474586 on OpenAlex
Adinda Nikmatul Maula, Nazwa Nasabella, Arin Maulidiya Lajuardi, I Ketut Mahardika, Singgih Baktiarso

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

VenuePHYDAGOGIC Jurnal Fisika dan Pembelajarannya · 2023
Typearticle
Languageid
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsBombardier (Canada)
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Penulisan artikel ini bertujuan untuk memaparkan hasil analisis berupa kajian literatur pada hasil penelitian mengenai media pembelajaran sains berbasis e-book. Berbagai survei menunjukkan bahwa literasi di indinesia masih rendah. Salah satu penyebabnya adalah kurangnya buku. Penelitian ini dilakukan dengan metode kajian literatur untuk menganalisis keunggulan buku elektronik dalam upaya meningkatkan literasi di Indonesia. Kajian ini difokuskan kepada aspek- aspek: (1) literasi mahasiswa di Indonesia, (2) insfrastruktur dan pemanfaatan buku elektronik. Hasil kajian menunjukkan bahwa buku elektronik dapat dimanfaatkan untuk mendorong peningkatan literasi sains dan literasi digital, khususnya unrtuk generasi z. selain itu, buku elektronik juga memiliki banyak keunggulan diantaranya lebih menarik, lebih mudah didistribusikan, dapat diakses dimana saja, dan lebih mudah diperbanyak atau digandakan. Pemanfaatan buku elektronik sebagai sarana peningkatan literasi di indinesia didukung pemerintah dalam menyiapkan atau mengembangkan bahan bacaan digital dan pemerataan akses internet ke seluruh wilayah.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.644
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.004
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0030.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.005

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 head0.061
GPT teacher head0.346
Teacher spread0.286 · 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