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Record W7132942747

The efficacy of a double handrail configuration for stair ascent of subjects with simulated disabilities (hobbled subjects)

2006· dissertation· W7132942747 on OpenAlexfundno aff
Allison M Lever

Bibliographic record

VenueTSpace · 2006
Typedissertation
Language
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsnot available
FundersNational Institute for Occupational Safety and HealthUniversity of Toronto
KeywordsStairsStair climbingWeaknessPreferred walking speedGrip strengthActivities of daily livingRange of motion
DOInot available

Abstract

fetched live from OpenAlex

Climbing stairs is a challenging activity for many frail older adults. A double handrail system was developed to make stair ascent safer and less effortful for such individuals. The effort of stair ascent using the double handrail system was investigated using healthy subjects given the simulated disabilities of lower extremity weakness and grip strength loss commonly found in frail older adults. The apparatus consisted of instrumented stairs and handrails, and a motion capture system. Ten healthy younger subjects wore simulation devices and climbed the stairs under a variety of conditions. Joint torques, generated forces and perceived exertion results show promise for the rails in minimizing effort. The device simulating lower extremity weakness was effective its simulation and the device simulating grip strength loss showed potential as a hobbling device.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
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)0.0030.001

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 head0.030
GPT teacher head0.381
Teacher spread0.351 · 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
Published2006
Admission routes1
Has abstractyes

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