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Record W1985736978 · doi:10.1177/0888439003251750

Kinematic Adaptations of Spinal Cord-Injured Subjects during Obstructed Walking

2003· article· en· W1985736978 on OpenAlexaff
Michel Ladouceur, Hugues Barbeau, Bradford J. McFadyen

Bibliographic record

VenueNeurorehabilitation and neural repair · 2003
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsBrock University
Fundersnot available
KeywordsKinematicsPhysical medicine and rehabilitationSpinal cord injuryConfoundingSpinal cordPhysical therapyHip flexionRehabilitationBiomechanicsMedicinePsychologyAnatomyRange of motionNeurosciencePhysics

Abstract

fetched live from OpenAlex

STUDY DESIGN: A case-control study of walking over obstacles. OBJECTIVE: To characterize and compare the kinematic, anticipatory locomotor adjustments used by people with incomplete spinal cord injuries (SCIs). METHODS: The angular and linear kinematics of the lower limb when going over obstacles of low height (0.005 and 0.030 m) were compared between SCI subjects (n = 6) and able-bodied participants (n = 5). RESULTS: The results of this study show that even though SCI participants could adapt their kinematic patterns to go over obstacles, none of the participants used kinematic strategies similar to those of able-bodied participants. CONCLUSIONS: This difference could be explained in part by the absence in the SCI participants of increased hip flexion when going over the obstacles. Other confounding factors are discussed.

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)0.002
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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.000
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 head0.041
GPT teacher head0.355
Teacher spread0.314 · 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

Citations23
Published2003
Admission routes1
Has abstractyes

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