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Record W2619386452 · doi:10.5539/ass.v13n6p102

The Relevance of Tradition Values toward Character Building Values

2017· article· en· W2619386452 on OpenAlexvenueno aff
Lailatul Khuriyah, Sugeng Utaya, Ari Sapto

Bibliographic record

VenueAsian Social Science · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicValues and Moral Education
Canadian institutionsnot available
Fundersnot available
KeywordsCharacter (mathematics)Value (mathematics)Values educationSociologyReligious valuesDemocracyCharacter educationIndonesianRelevance (law)ExcellenceSocial value orientationsEthnic groupSocial scienceAnthropologyLawPolitical sciencePedagogyPoliticsPhilosophyIslam

Abstract

fetched live from OpenAlex

A culture has an important in for the development of the character of the young generation, because in the culture of each ethnic group has values that guide the society. The Erau Tradition of Kutai contains values in any rituals. This value can be a guideline for cultivation the character building and to minimize degradation and the eroded values of national identity in our youth. This study aims to: 1) know the values contained in Erau tradition, 2) know the relevance of traditional values of Erau with the values of Indonesian nation character education. The research was conducted in Kutai Kertanegara using ethnography approach. Erau tradition which made cooperation between the palace, local governments and communities indicates that this tradition contains religious values, unity, cooperation/cooperativeness, tolerance, social awareness, recognize excellence, democracy, work ethic, and the preservation of culture. These values has relevance to the educational value of the character of the Indonesian nation, although not in its entirety but these values are positive and capable of being used as a source of value for the community guidelines. With that understanding, the expected values may play a role in shaping the character of the nation.

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.013
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.061
GPT teacher head0.388
Teacher spread0.327 · 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 designObservational
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

Citations8
Published2017
Admission routes1
Has abstractyes

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