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Record W2593367475 · doi:10.5539/ach.v9n1p33

The Values of Multicultural Education in Munanese Traditional Culture

2017· article· en· W2593367475 on OpenAlexvenueno aff
La Ode Ali Basri, La Aso, Abdul Halim Momo, I Wayan Mudana, La Taena, Salniwati Salniwati, La Janu, Aswati Aswati

Bibliographic record

VenueAsian Culture and History · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Education and Local Wisdom
Canadian institutionsnot available
Fundersnot available
KeywordsTabooMulticulturalismSociologyEthnic groupSubject (documents)Multicultural educationPresentation (obstetrics)PedagogyGender studiesAnthropology

Abstract

fetched live from OpenAlex

This study aims to reveal elements of multicultural education in traditional culture of Muna, one of ethnic groups in Southeast Sulawesi, Indonesia, by employing a descriptive qualitative research method. Main informants of the study included maestros of tradition preservation, traditional prominent figures, main figures of the society, and youth figures. Data were collected by conducting participatory observations, in-depth interviews, and focused group discussions. The data were then analyzed by performing data reduction, data presentation, and conclusions drawing. Findings of the study showed that Munanese traditional culture contains values of multicultural education such as appreciation of others’ services and creations, harmoniously living with others, awareness of a fundamental nature of human as a creature subject to weaknesses, advocating the need to exhibit noble characters, recognition and respect of others’ right, high work ethic, and gender neutrality. These values of multicultural education are embedded in taboo tradition, traditional sayings, folklores, and traditional riddles.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.759
Threshold uncertainty score0.899

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.035
GPT teacher head0.326
Teacher spread0.292 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations5
Published2017
Admission routes1
Has abstractyes

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