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Record W7061310638

Reliability of isovelocity dynamometer testing of four movements of the shoulder and shoulder girdle in persons with spinal cord injury

2000· other· en· W7061310638 on OpenAlexvenueno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2000
Typeother
Languageen
FieldEngineering
TopicAdvanced Power Generation Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsDynamometerShoulder girdleParaplegiaIntraclass correlationReliability (semiconductor)Spinal cord injurySpinal cord
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study was to examine the reliability of using an isovelocity dynamometer for the testing of four movements of the shoulder and shoulder girdle in participants having a spinal cord injury. Ten people with quadriplegia and ten people with paraplegia participated in the study. The movements being tested included shoulder girdle (scapular) elevation and depression, and shoulder (glenohumeral joint) flexion and adduction. Scapular movements were tested using a standardised reciprocal protocol at an angular velocity of 30/s, while glenohumeral movements were tested using a standardised protocol at an angular velocity of 60/s. Testing was conducted on two days separated by no less than 72 hours, but no more than one week. Data analysis showed high reliability for all tested movements with intraclass correlation values greater than 0.9, and r2 values greater than 0.76. The protocol and the isovelocity dynamometer used is a reliable means to assess force generated in these movements by participants with spinal cord injuries.

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)0.002
metaresearch head score (Gemma)0.012
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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.006
GPT teacher head0.173
Teacher spread0.167 · 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

Citations0
Published2000
Admission routes1
Has abstractyes

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Same venueLibrary and Archives Canada (Government of Canada)Same topicAdvanced Power Generation TechnologiesFrench-language works237,207