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Record W2169657725 · doi:10.1177/104973201129119541

Components of Quality of Life for Persons with a Quadriplegic and Paraplegic Spinal Cord Injury

2001· article· en· W2169657725 on OpenAlexaff
Patricia J. Manns, Karen Chad

Bibliographic record

VenueQualitative Health Research · 2001
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsSpinal cord injuryParaplegiaQuality of life (healthcare)Physical therapyTetraplegiaPsychologyPopulationMedicineRehabilitationIndependence (probability theory)Spinal cordPhysical medicine and rehabilitationGerontologyPsychiatryNursingEnvironmental health

Abstract

fetched live from OpenAlex

This investigation determined the themes that represented quality of life for persons with a spinal cord injury. Fifteen people (6 females, 9 males; 7 persons with quadriplegia, 8 with paraplegia) participated in this study, which used naturalistic inquiry methodologies. Results showed that quality of life for this population, regardless of severity of impairment, consisted of nine themes: (a) physical function and independence, (b) accessibility, (c) emotional well-being, (d) stigma, (e) spontaneity, (f) relationships and social function, (g) occupation, (h) finances, and (i) physical well-being. The themes of life quality were similar for quadriplegics and paraplegics; however, physical function and independence and physical well-being affected the quality of life of persons with a quadriplegic injury to a greater extent. These findings may provide health professionals with information necessary to assist in the development of programs to enhance quality of life.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.673
GPT teacher head0.654
Teacher spread0.018 · 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 designQualitative
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

Citations170
Published2001
Admission routes1
Has abstractyes

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