MétaCan
Menu
Back to cohort
Record W40997720 · doi:10.3233/oer-2006-6101

Biomechanical assessment of massage therapists

2006· article· en· W40997720 on OpenAlexaff
Wayne J. Albert, Carolyn A. Duncan, Nadine Currie-Jackson, V. Gaudet, Jack P. Callaghan

Bibliographic record

VenueOccupational Ergonomics · 2006
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsUniversity of WaterlooUniversity of New Brunswick
Fundersnot available
KeywordsMassagePhysical therapyMedicineTrunkPhysical medicine and rehabilitationAlternative medicine

Abstract

fetched live from OpenAlex

This study was undertaken to investigate the biomechanical demands on the low back of Massage Therapists performing typical massage therapy techniques and the nature of the associated cumulative exposure. Ten Massage Therapists performed a standardized relaxation back massage that incorporated a series of basic massage therapy techniques used in standard treatments. The 44-minute massage treatment was videotaped and a posture-matching approach was used to determine 3D peak and cumulative loads on the low back. Although the resultant peak low back loads would be considered safe in relation to current published compression and shear guidelines, the cumulative loading values were well within the ranges considered disconcerting in other health care and industrial workers. The therapists were found to assume non-neutral trunk, neck and arm postures for a significant portion of the massage, which could place these professionals at risk of cumulative musculoskeletal disorders.

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)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.013
GPT teacher head0.315
Teacher spread0.302 · 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 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

Citations24
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueOccupational ErgonomicsSame topicMusculoskeletal pain and rehabilitationFrench-language works237,207