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Record W2802454400 · doi:10.1177/0898010118763662

The Wisdom of Thai Indigenous Healers for the Spiritual Healing of Fractures

2018· article· en· W2802454400 on OpenAlexaff
Siriratana Juntaramano, Janerawee Swangareeruk, Tanida Khunboonchan

Bibliographic record

VenueJournal of Holistic Nursing · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsWestern University
Fundersnot available
KeywordsIndigenousTraditional medicineMedicineHolistic healthAlternative medicineNursingBiology

Abstract

fetched live from OpenAlex

AIMS: The aim of this study was to explore the wisdom of Thai indigenous healers (IHs) for physical and spiritual healing and their treatment process for fractures. METHOD: Twelve IHs from four regions of Thailand were selected using cluster and purposive sampling. They were interviewed on their methods for treating fractures. The Colaizzi method was used for analysis, and we returned to the IHs for validity confirmation. FINDINGS: The wisdom of IHs is believed to be inherited from ancestors and from a "sixth sense," their former teacher's spirit. There are no textbooks, only one-on-one training. The annual Wai Khru ceremony, where IHs pay respect to their teachers, is believed to also impart a blessing of greater wisdom to the student healer. Their physical treatment of fractures is like that by an orthopedic physician, but their methods and materials are different because physical treatment is combined with spiritual care. CONCLUSION: Certain aspects of IH practice may have application for professional nursing. It is suggested that incorporating traditional spiritual care into nursing may improve patients' quality of life, both physically and spiritually.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
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 head0.080
GPT teacher head0.444
Teacher spread0.365 · 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.

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

Citations6
Published2018
Admission routes1
Has abstractyes

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