MétaCan
Menu
Back to cohort
Record W2023765786 · doi:10.2340/16501977-0192

Quantification of reaction forces during sitting pivot transfers performed by individuals with spinal cord injury

2008· article· en· W2023765786 on OpenAlexafffund
Denis Gagnon, Sylvie Nadeau, Luc Noreau, Patrick Dehail, Denis Gravel

Bibliographic record

VenueJournal of Rehabilitation Medicine · 2008
Typearticle
Languageen
FieldMedicine
TopicNerve Injury and Rehabilitation
Canadian institutionsUniversité de MontréalUniversité du Québec à Montréal
FundersCentre for Interdisciplinary Research in Rehabilitation
KeywordsSittingSpinal cord injuryParaplegiaButtocksGround reaction forceReactionMedicinePhysical medicine and rehabilitationSpinal cordPhysical therapyAnatomyPhysics

Abstract

fetched live from OpenAlex

OBJECTIVES: To quantify the reaction forces exerted under the hands, feet and buttocks when individuals with spinal cord injury performed sitting pivot transfers. DESIGN: Twelve men with paraplegia completed 3 transfers between seats of the same height (0.5 m high) and 3 transfers to a high target seat (0.6 m high). RESULTS: Greater mean and peak vertical reaction forces were always recorded under the hands compared with the feet (p<0.001) during the transfers. Mean vertical reaction forces were similar between the leading and trailing hands (p>0.088) for the 2 transfers studied. However, the mean vertical reaction force underneath the leading hand was greater when transferring between a seat of the same height compared with one of a higher height (p=0.021) and vice-versa for the trailing hand (p=0.0001). The peak vertical reaction force always occurred earlier (p<0.0001) and was greater underneath the trailing hand compared with the leading one (p<0.02), and reached its highest value when transferring to the high target seat (p=0.003). Peak and mean horizontal reaction forces were always higher underneath the trailing hand compared with the leading hand (p<0.001). CONCLUSION: These results provide evidence-based data to better understand transfers and strengthen clinical practice guidelines targeting the preservation of upper extremity integrity.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.744
Threshold uncertainty score0.493

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.020
GPT teacher head0.317
Teacher spread0.298 · 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 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

Citations50
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Rehabilitation MedicineSame topicNerve Injury and RehabilitationFrench-language works237,207