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Record W2776875318 · doi:10.22373/jm.v7i2.2361

WORLD VIEW PENDIDIKAN ISLAM TENTANG PEMBENTUKAN KARAKTER PESERTA DIDIK YANG HOLISTIK DAN INTEGRATIF

2017· article· en· W2776875318 on OpenAlexaff
Samsul Bahri

Bibliographic record

VenueJurnal MUDARRISUNA Media Kajian Pendidikan Agama Islam · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Character Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsIslamCharacter educationCreativityCharacter (mathematics)Islamic educationPedagogySociologyMoralityPsychologyPolitical sciencePhilosophyTheologyLaw

Abstract

fetched live from OpenAlex

This paper discusses the world view of Islamic education on the formation of the character of learners are holistic and integrative. The method used is descriptive analysis by using historical approach. This study proves that the world view of Islamic education in character education has become the vision and mission of Islamic education, it is seen in the goal of Islamic education, the responsibility of educators. This study also concludes the prophetic mission of Islamic education is to develop character education of students or morality and educate individuals to believe in God and implement their Shari'ah. It's just that this mission has not been achieved because it stumbles with a mall-educational practice. Therefore, teachers are willing to innovate and creativity to characterize character education strategies in a balanced way through implementation in learning through exemplary.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.004
Scholarly communication0.0050.003
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.047
GPT teacher head0.349
Teacher spread0.302 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2017
Admission routes1
Has abstractyes

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