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Exercise Therapy After Spinal Cord Injury: The Effects on Heath and Function

2009· review· en· W2087763711 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCritical Reviews in Biomedical Engineering · 2009
Typereview
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsMcMaster UniversityBrock University
Fundersnot available
KeywordsSpinal cord injuryMedicinePhysical therapyPhysical medicine and rehabilitationPopulationDiseaseRehabilitationHealth benefitsAerobic exerciseTreadmillSpinal cordEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

Individuals with spinal cord injury (SCI) are susceptible to an array of secondary health complications. Some of these health concerns are attributable to the SCI per se, but many are secondary to the resulting immobility. For example, the incidence of pressure ulcers, type 2 diabetes, and cardiovascular disease are greatly increased in this population. Despite the need for exercise training as a means to reverse these health risks, individuals with SCI have traditionally been one of the most inactive segments of society. Physical activity programs and information about how activity can promote health are two of the services most desired but least available to people with SCI. Recently, efforts have been made to increase exercise options for individuals with SCI and to study the health benefits of exercise in this population. Accessible resistance and aerobic exercise training, functional electrically stimulated exercise, and body weight-supported treadmill training have all shown promise as ways to reverse some of the physiological consequences of SCI. Future research will determine whether these physiological adaptations actually translate to a long-term reduction in disease and mortality.

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.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.967
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.065
GPT teacher head0.439
Teacher spread0.374 · 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