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Record W2919469697 · doi:10.5539/ass.v15n3p40

Inter-caste Marriage and the Impact on the Intra-cultural Communication Pattern of Balinese Hindu in Indonesia: An Ethnography Study

2019· article· en· W2919469697 on OpenAlexvenueno aff
Ni Putu Limarandani, Ahmad Sihabudin, Mirza Ronda

Bibliographic record

VenueAsian Social Science · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicRhetoric and Communication Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCasteHinduismEthnographyIndigenousSociologyGender studiesIdentity (music)SiblingColonialismArranged MarriagePower (physics)AnthropologyLawAestheticsPolitical scienceReligious studiesEcologyArt

Abstract

fetched live from OpenAlex

Intra-cultural communication of the Balinese community, acted as a representation of cultural and social identity. This intra-cultural relationship has consciously built relations of power in the life of the Balinese Hindu community including in very personal matters such as marriage. There are two kinds of marriages for Balinese Hindu, memadik (wooing) and ngerorod (eloping). The second married arose when women from high caste married with a man from a lower caste. In the Dutch colonial era, this kind of marriage was outlawed, since this time categorized as unexpected marriage. One of the consequences of eloping married, known as nyerod in Bali is a decline in the caste of the bride as same as the groom. Accordingly, the couple should change their ways of communication when they interact with the bride family. The aims of this paper is to describe the intra-cultural communications among the nyerod couple with their family and the indigenous environmental in Balinese Hinduism. The ethnography approach was taken to describing and analyzing the primary data from interview and observation. The result shows that the intracultural communication pattern among nyerod women and their parent, sibling and extended family, represent by their impression management. The foundation of interactions are the form of their identity which develops in four layers and bound by customary law.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.420
Threshold uncertainty score0.683

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.045
GPT teacher head0.322
Teacher spread0.276 · 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 designQualitative
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

Citations4
Published2019
Admission routes1
Has abstractyes

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