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Record W4384568832 · doi:10.36315/2023inpact023

"LIFE SATISFACTION AFTER TRAUMATIC SPINAL CORD INJURY: A COMPARISON OF LIFE SATISFACTION IN PEOPLE LIVING WITH PARAPLEGIA AND TETRAPLEGIA TO THE GENERAL CANADIAN POPULATION"

2023· article· en· W4384568832 on OpenAlexaffabout
Derek Gaudet, Lisa A. Best, Najmedden Attabib

Bibliographic record

VenuePsychological applications and trends · 2023
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsSaint John Regional HospitalHorizon Health NetworkUniversity of New Brunswick
Fundersnot available
KeywordsTetraplegiaParaplegiaLife satisfactionSpinal cord injuryPhysical medicine and rehabilitationMedicinePhysical therapyPopulationSpinal cordPsychologyPsychiatryPsychotherapist

Abstract

fetched live from OpenAlex

Traumatic spinal cord injury (tSCI) can be a life changing event that has the potential to impact many aspects of life including subjective well-being.One component of subjective well-being that is commonly measured following tSCI is Life Satisfaction (LS).Despite this, it is difficult to find research that has made direct comparison between the levels of LS reported by tSCI survivors and the general population.To better understand the impact that tSCI has on LS, the present study compared the LS of individuals without a tSCI, to a large sample of individuals who are currently living with tSCI that resulted in either paraplegia or tetraplegia.Our analyses showed that individuals with tSCI report lower levels of LS, when compared to individuals without a tSCI, and that people with tetraplegia report lower LS than individuals living with paraplegia.We also determined whether people without a tSCI can make accurate predictions about how their LS would change is they sustained a tSCI resulting in paraplegia or tetraplegia.When participants without tSCI were asked to estimate their life satisfaction in both situations, they overestimated the impact of tSCI.The degree to which LS in tSCI survivors differs from individuals without a tSCI , reasons for the overestimations made by individuals without tSCI and implications of the findings are discussed.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.190
Threshold uncertainty score0.967

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.113
GPT teacher head0.492
Teacher spread0.379 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

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