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Record W2102014945 · doi:10.5539/ass.v10n9p240

Development Model of Lifestyles after the Success of Mor Lam’s Career

2014· article· en· W2102014945 on OpenAlexvenueno aff
Supap Tinnarat, Sitthisak Champadaeng, Urarom Chantamala

Bibliographic record

VenueAsian Social Science · 2014
Typearticle
Languageen
FieldHealth Professions
TopicHealth, Technology, Consumer Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsSingingCasualStorytellingPsychologySoulSociologyLiteratureArtPolitical scienceTheologyManagementLaw

Abstract

fetched live from OpenAlex

Problem Statement: As northeastern styled singer, or mor lam have a long role to play in society and culture. Mor lam relates to Isan people’s way of life. The objectives of the study were to examine the historical background, the current circumstances and problems of lifestyles and development model of lifestyles after they had achieved highly in career in Isan, Thailand. Approach: The research was carried out in 5 Provinces in Isan or Northeastern Thailand: Khon Kaen, Udon Thani, Ubon Ratchatani, Maha Sarakham, and Roi Et. The instruments used were a basic survey, participant observations, interviews, and focused-group discussions. The 100 informants were key, casual, and general ones respectively. The data analysis was, based on objectives and triangulation technique, done descriptively. Results: Historically, mor lam was basically evolved from four sources: storytelling, exchange of Phaya, soul comforting, and preaching. The storytelling often proceeded with the language of prose and was related to Phaya. There were four types of mor lam: traditional singing, verse singing, dancing with singing, and group singing. Mor lam had roles to play in society as reflected by verses, and singing included their thoughs, way of life, religion, tradition and belief. Ten singers (mor lam) were chosen for the study. They were Khen Dalao, Ratri Srivilai, Thongcharoen Dalao, Bunchuang Denduang, Chaweewan Dumnern, Por Chalard Noi Songserm, Paiboon Siang Thong, Buaphan Daokanong, Ranjuan Duangden, and Krissana Boonsan. All of the mor lam came from rice farming families. They went into professional singers with a passion and received training from parents and relatives. Subsequently, they were trained by famous singing instructors. Based on their expertise in singing, they all became successful, famous and professional singers or mor lam in Thailand.Currently, most mor lam or traditional singers of all types had to put a lot of effort into staying alive in their singing and entertainment business due to fast technological change and development, such as, media and internet. The public and audiences therefore turned to media and internet for entertainment. To stay on the job, many mor lams had to invest, almost limitless on their singing business. Some mor lam had to reduce the size of their own singing groups and spending.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.537
Threshold uncertainty score0.720

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.078
GPT teacher head0.412
Teacher spread0.335 · 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 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

Citations0
Published2014
Admission routes1
Has abstractyes

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