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Impact of Electronic Aids to Daily Living on the Lives of Persons With Cervical Spinal Cord Injuries

2005· article· en· W1973848389 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

VenueAssistive Technology · 2005
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsHamilton Health SciencesUniversity of TorontoSt Joseph's Health CareWestern UniversityHolland Bloorview Kids Rehabilitation HospitalMcMaster University
Fundersnot available
KeywordsPsychosocialActivities of daily livingAutonomyAdaptabilityMedicineCompetence (human resources)Physical therapyAssistive technologyGerontologyPsychologyPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Structured interviews were used to evaluate the impact of electronic aids to daily living (EADL) on functional abilities and psychosocial well-being. The participants included 32 adults (26 men, 6 women; mean age of 39 years) with cervical spinal cord injuries. The experiences of 16 EADL users were compared with a control group of 16 nonusers, using the Functional Autonomy Measuring Scale, the Lincoln Outcome Measures for Environmental Controls, and the Psychosocial Impact of Assistive Devices Scale. Results show EADL users had significantly better performance (p < .05) than nonusers for instrumental activities of daily living and for 75% of 12 daily tasks. Many non-users had hands-free control of phones only, whereas EADL users had control over many other household devices, which optimized their independence. The psychosocial impact of this technology was very positive for competence, adaptability, and self-esteem. In conclusion, functional abilities were greater for a variety of daily tasks, and psychosocial impact was positive when EADLs were used.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.554

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.039
GPT teacher head0.417
Teacher spread0.378 · 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