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Record W1973660236 · doi:10.7547/87507315-93-6-481

Relationship Between the Subtalar Joint Inclination Angle and the Location of Lower-Extremity Injuries

2003· article· en· W1973660236 on OpenAlexaff
M.R. Pierrynowski, Eric Finstad, Marta Kemecsey, Jade Simpson

Bibliographic record

VenueJournal of the American Podiatric Medical Association · 2003
Typearticle
Languageen
FieldEngineering
TopicLower Extremity Biomechanics and Pathologies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSubtalar jointMedicineFoot (prosody)Physical therapyKnee JointInclination angleKinematicsAnterior knee painPhysical medicine and rehabilitationOrthodonticsSurgeryAnkle

Abstract

fetched live from OpenAlex

This study hypothesized that individuals who have a history of knee pain during repetitive weightbearing activities have a higher subtalar joint inclination angle than those with a history of foot pain. Study participants were selected on the basis of results of a written questionnaire that asked about the site and cause of injury and pain frequency and intensity. Pain items were graded on a 7-point Likert scale. Subjects were mainly young (18 to 32 years of age), healthy university students who had a history of knee pain (knee group) or foot pain (foot group) during weightbearing activity. Both foot and lower-leg kinematic data were used to estimate the magnitude of each participant's subtalar joint inclination angle. These data were obtained while participants performed a series of open- and closed-kinetic-chain motions. The subtalar joint inclination angle was significantly greater for the knee group than for the foot group. The results of this study support the hypothesis that a higher subtalar joint inclination angle may predispose an individual to knee pain, and a lower subtalar joint inclination angle to foot pain.

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)0.004
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.012
GPT teacher head0.229
Teacher spread0.217 · 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 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

Citations13
Published2003
Admission routes1
Has abstractyes

Explore more

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