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Record W3171745209 · doi:10.24176/wasis.v2i1.5085

MEDIA WARAGA SEBAGAI UPAYA MENINGKATKAN KEMAMPUAN SISWA SEKOLAH DASAR DALAM MENGIDENTIFIKASI KERAGAMAN BUDAYA

2021· article· en· W3171745209 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

VenueWASIS Jurnal Ilmiah Pendidikan · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Character Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsMathematics educationClass (philosophy)Action researchDiversity (politics)PsychologyTest (biology)PedagogyComputer scienceSociologyArtificial intelligence

Abstract

fetched live from OpenAlex

This research aims to describe the enhancement of elementary school students ' ability to identify cultural diversity, as well as describe the improvement of basic skills teaching teachers through the application of Waraga media.The research method used is a class action research conducted as many as 2 cycles. Each cycle is implemented during 2 meetings. Cycles consist of planning, acting, observing, and reflecting. The subject of the study was 28 graders of SD Negeri 2 Pecangaan Wetan in Lesson 2019/2020. The technique of data collection during the implementation of class action research using test techniques in the form of evaluation test to know the improvement of students ' ability to identify cultural diversity, and nontest technique in the form of observation of teacher teaching basic skills using observation sheet consisting of 8 observed aspects. Data analysis used is quantitative and qualitative data analysis. The results showed that with the use of the media waraga in learning occurs increase the ability of students in identifying cultural diversity in elementary schools. Proven from the increasing percentage of the classical dictancy. Cycle I gained a percentage of 68% and cycle II gained 86%. The results also showed improved teacher teaching basic skills, proven from observations that gained a score percentage of 77.3% on the I cycle and increased to 85% in cycle II.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, 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 score0.638
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.033
GPT teacher head0.317
Teacher spread0.284 · 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