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Record W2029305980 · doi:10.1067/mmt.2002.126472

The kinematics of motion palpation and its effect on the reliability for cervical spine rotation

2002· article· en· W2029305980 on OpenAlexaff
Justin Marcotte, Martin Normand, Pierre Black

Bibliographic record

VenueJournal of Manipulative and Physiological Therapeutics · 2002
Typearticle
Languageen
FieldMedicine
TopicCervical and Thoracic Myelopathy
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsPalpationReproducibilityMedicineReliability (semiconductor)StandardizationKinematicsChiropracticKappaPhysical therapyPhysical medicine and rehabilitationMotion (physics)OrthodonticsMedical physicsComputer scienceSurgeryArtificial intelligenceStatisticsPathologyMathematics

Abstract

fetched live from OpenAlex

BACKGROUND: The reliability of a test depends on its standardization. Instrumental measurement of the reproducibility of the test is an effective way to evaluate the level of standardization obtained. Improved standardization is believed to yield greater reliability. OBJECTIVE: The objectives of this study were to measure the technical ability of an examiner to reproduce the kinematics of motion palpation for cervical spine rotation and to evaluate the effect of standardization on the reliability of the test. DESIGN: A study of reproducibility of the kinematics of the test for cervical spine rotation was conducted by means of a computerized system of analysis of movement. The reliability when reproducibility was achieved was compared with reliability when it failed. RESULTS: The data collected enable us to establish a standardized protocol for the execution of the test. The standardized palpation is executed within 6 of inclination from the pure plane of rotation. The successful reproduction of the kinematics of the test raises its reliability to detect the presence of fixations (kappa raising from 0.337 and 0.352 to 0.682). CONCLUSIONS: A greater reliability, arising from a high level of reproducibility, enables us to document the advantages of the standardization of motion palpation in chiropractic.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.799
Threshold uncertainty score0.143

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.259
GPT teacher head0.364
Teacher spread0.105 · 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 designOther design
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

Citations30
Published2002
Admission routes1
Has abstractyes

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