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Record W1740344302 · doi:10.3233/wor-2006-00509

A research pilot project to test the efficacy of current pedorthic practices in the Canadian Forces

2006· article· en· W1740344302 on OpenAlexaffabout
Thomas W. Pelham, Peter Rowe, Michael G. Robinson, Laurence E. Holt

Bibliographic record

VenueWork · 2006
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsDalhousie UniversityUniversity of CalgaryCanadian Armed Forces
Fundersnot available
KeywordsCushioningPhysical therapyDescent (aeronautics)Test (biology)AeronauticsPhysical medicine and rehabilitationMedicineLumbarPsychologyEngineeringOperations managementApplied psychologySurgeryMechanical engineering

Abstract

fetched live from OpenAlex

Impact loading is a major factor in the high prevalence of musculoskeletal injuries among military personnel during operational tasks. One of the therapeutic purposes of a pedorthic approach is to attenuate impact load through footwear and supportive device cushioning. The following research pilot project attempts to investigate this relationship. Vertical acceleration was collected at the fourth lumbar level in 30 members of the Canadian Forces (CF) during two ladder descents on a CF warship. Body weight, time of descent, and a description of footwear and any additional supportive appliances were also collected. None of the evaluated variables were significantly different between members wearing standard issue footwear and medically prescribed footwear and supportive devices. Although the results of this research pilot must be viewed with caution, the preliminary findings of this pilot tends to suggest that the current pedorthic practices may not effectively reduce peak impact forces at the fourth lumbar level of the spine among CF personnel during a selected naval activity.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation 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 score0.349
Threshold uncertainty score0.836

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
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 head0.108
GPT teacher head0.437
Teacher spread0.329 · 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

Citations3
Published2006
Admission routes2
Has abstractyes

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