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Record W1999878544 · doi:10.5539/ach.v7n1p1

Current Conditions and Problems of Conservation and Inheritance of Identity Among Thai-Sikhs

2014· article· en· W1999878544 on OpenAlexvenueno aff
Nakrob Narksuwan, Wisanee Siltragool, Anchalee Jantapo

Bibliographic record

VenueAsian Culture and History · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Studies and Diaspora
Canadian institutionsnot available
Fundersnot available
KeywordsWesternizationInheritance (genetic algorithm)Identity (music)Metropolitan areaGovernment (linguistics)SociologyNeglectSocial scienceSocioeconomicsGender studiesPolitical scienceGeographyLawPsychologyModernization theoryBiology

Abstract

fetched live from OpenAlex

This research is aimed at investigating the current conditions and problems of conservation and inheritance among Thai Sikhs in metropolitan Bangkok. Data was gathered by means of interview, observation, group discussion, and workshop. The study area was comprised of Pahurat, PraNakorn District, Gurdwara Sri Guru Singh Sabha, PraNakorn District, and Im-Amporn Village, Bangkok Yai District. The results show that the most important aspects of Thai-Sikh identity that must be conserved are the 5 sacred symbols, fundamental teachings, religious ceremonies, the Gurdwara Sri Guru Singh Sabha religious building, the Sri Guru Singh Sabha Association and the Punjabi language. Currently, Thai-Sikh identity is clear and well-maintainedin Bangkok society. However, problemsare caused by westernization and adoption of modern cultural practices from other societies. This leads to the neglect of traditional Thai Sikh lifestyle. The suggested solutions include raising awareness of identity conservation among Thai Sikhs, which requires the cooperation of the government and private sectors. Training and activities must also be arranged, which new Thai-Sikh generations can learn from and participate in.

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: Empirical
Teacher disagreement score0.692
Threshold uncertainty score0.260

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 studies0.0000.001
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 head0.024
GPT teacher head0.217
Teacher spread0.193 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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