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Record W2025003146 · doi:10.1310/uwey-p98w-r86q-1ljv

Community Integration and Quality of Life Comparisons Among Spinal Cord Injured, Support Provider, and Comparative Samples

2005· article· en· W2025003146 on OpenAlexaff
Kathryn Boschen, Judith Gargaro, Mark Tonack

Bibliographic record

VenueTopics in Spinal Cord Injury Rehabilitation · 2005
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsToronto Rehabilitation Institute
Fundersnot available
KeywordsMedicineCommunity integrationSocial supportSpinal cord injuryQuality of life (healthcare)Cross-sectional studyLogistic regressionPopulationLocus of controlGerontologyPhysical therapyNursingEnvironmental healthSpinal cordPsychologyPsychiatrySocial psychologyInternal medicine

Abstract

fetched live from OpenAlex

This large cross-sectional survey study compared the community integration and quality of life of support providers (n = 100) with those of individuals with a spinal cord injury (n = 100) as well as those of a non-SCI, non-support-provider sample from the general population (n = 102). Variables quantitatively examined were locus of control, environmental facilitators and barriers, productivity status, community integration, and quality of life. ANOVA and regression analysis confirmed the research hypotheses that support providers would have higher scores on the study variables than persons with SCI but would have lower scores than the comparative sample, demonstrating the impact of this role on the individual.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.241
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.217
GPT teacher head0.474
Teacher spread0.257 · 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.

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

Citations10
Published2005
Admission routes1
Has abstractyes

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