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Record W2602953393 · doi:10.29313/mimbar.v31i2.1443

Model Piranti Olah Pikir-Emosi untuk Menumbuh-kembangkan Cinta Budaya Bangsa Siswa Sekolah Dasar

2015· article· en· W2602953393 on OpenAlex
HM Zainuddin, IM Hambali

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

VenueMIMBAR Jurnal Sosial dan Pembangunan · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Character Development
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsCharacter (mathematics)Style (visual arts)PsychologyTest (biology)Order (exchange)SociologyPedagogyMathematics educationArtLiteratureEcologyMathematics

Abstract

fetched live from OpenAlex

This article is to create thought-emotion processing device model in theform of CD that is ready to be applied by teachers in order to to develop of love towardnational culture of elementary school students. Short-term goal of drafting a model in theform of CD as well as information on the effect of the application of psycho-educationalthought-emotion processing device toward love of national. In the first year, designingpsycho education models thought-emotion processing device that can increase primarystudents’ character of love toward national culture. In the second year, the researcherconduct experiment activity to test the effect of thought-emotion processing device modelof national culture love in 3 areas that could represent primary student characteristicin Indonesia. This research is usefull for teacher to implement character-based learningcomprehensively in the classical style in order to increase the character of love towardnational culture. The usage is teachers can implement by themselves with a manner andsteps which is recommended in learning guide based on this character education.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.447
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.085
GPT teacher head0.337
Teacher spread0.252 · 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