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Record W1990035546 · doi:10.5539/ach.v7n1p67

Thai Oil Massage: The Application of Traditional Knowledge in North-eastern Thailand

2014· article· en· W1990035546 on OpenAlexvenueno aff
Rapeepan Sirisumpan, Songkoon Chantachon, Kosit Phaengsoi

Bibliographic record

VenueAsian Culture and History · 2014
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMassageApprenticeshipChristian ministryFocus groupHealth careAlternative medicineMedicinePosition (finance)Medical educationNursingPsychologyBusinessPolitical scienceMarketingGeography

Abstract

fetched live from OpenAlex

This qualitative research reviews the current state of traditional oil massage in the North-eastern region of Thailand and identifies methods to preserve traditional knowledge. The findings are obtained by interview, observation and focus group discussion. The results show that traditional knowledge of oil massage was developed to combat occupational health problems in local communities, and that it has been inherited through both self-education and apprenticeship. For each treatment, the masseur/masseuse (Maw Nam Man) prepares him/herself and his/her equipment. He/she then reviews the patient position before proceeding with the oil massage. There are no adverse effects during or after well-executed traditional massage therapy. In order to incorporate traditional oil massage therapy in holistic healthcare under the supervision of the Ministry of Public Health, traditional wisdom must be integrated with modern medicine procedures and a management framework must be formulated.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.013
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.006
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.032
GPT teacher head0.260
Teacher spread0.229 · 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 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

Citations0
Published2014
Admission routes1
Has abstractyes

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