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Record W2129845844 · doi:10.3822/ijtmb.v1i2.26

Value of Qualitative Research in the Study of Massage Therapy

2008· article· en· W2129845844 on OpenAlexaffvenue
Ania Kania, Antony Porcino, Marja J Verhoef

Bibliographic record

VenueInternational Journal of Therapeutic Massage & Bodywork Research Education & Practice · 2008
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMassageQualitative researchContext (archaeology)Meaning (existential)PsychologyMedical educationMedicineValue (mathematics)CurriculumAlternative medicinePsychotherapistPedagogySociologyComputer sciencePathologySocial science

Abstract

fetched live from OpenAlex

Qualitative inquiry is increasingly used in health research because it is particularly suited to the study of complex topics or issues about which little is known and concerning which quantification cannot easily create or effectively convey understanding. By exploring the lived experience of people providing and receiving massage therapy and the meaning that those people ascribe to those experiences, in-depth understanding of the nature of massage therapy and of how it affects people's lives is possible. Qualitative research may also provide insights into the outcomes, process and context of massage therapy that cannot be fully achieved through quantification alone.The purpose of the present article is to describe qualitative research and to discuss its value to the massage therapy profession. The target audience is massage therapists who want to be able to better understand the research literature, novice massage therapy researchers who are unfamiliar with qualitative research, and teachers of research methods courses in massage therapy training programs who want to include qualitative research methods in their curriculum.

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)0.045
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0450.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.490
GPT teacher head0.699
Teacher spread0.208 · 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

Citations12
Published2008
Admission routes2
Has abstractyes

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