MétaCan
Menu
Back to cohort
Record W4385496352 · doi:10.31219/osf.io/w78jb

MENINGKATKAN HASIL BELAJAR PESERTA DIDIK MATA PELAJARAN ILMU PENGETAHUAN SOSIAL MENGGUNAKAN MODEL PEMBELAJARAN CONTEXTUAL TEACHING AND LEARNING (CTL) BERBANTU MEDIA MINIATUR LINGKUNGAN ALAM

2023· preprint· id· W4385496352 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

Venuenot available
Typepreprint
Languageid
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesPsychologyMathematics educationPedagogyArt

Abstract

fetched live from OpenAlex

Penelitian ini mengkaji mengenai studi literatur. Metode studi literatur adalah serangkaian kegiatan yang berkenaan dengan metode pengumpulan data pustaka, membaca dan mencatat, serta mengelolah bahan penelitian. Berhasilnya tujuan pembelajaran ditentukan oleh banyak faktor diantaranya adalah faktor guru dalam melaksanakan proses belajar mengajar, karena guru secara langsung dapat mempengaruhi, membina dan meningkatkan kecerdasan serta keterampilan peserta didik. Penggunaan model Contextual Teaching and Learning (CTL) berbantu media Miniatur Lingkungan Alam dan Buatan memberikan pengalaman nyata, berfikir tingkat tinggi, berpusat pada peserta didik, kritis dan kreatif, pengetahuan bermakna dalam kehidupan, dekat dengan kehidupan nyata, adanya perubahan prilaku serta pengetahuan. Selain itu hasil belajar peserta didik dapat meningkat

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)0.012
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.881
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.007
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0050.006
Research integrity0.0020.012
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.076
GPT teacher head0.330
Teacher spread0.253 · 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

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same topicEducational Methods and Media UseFrench-language works237,207