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Record W2803376753 · doi:10.1097/rnj.0000000000000146

An Exploration of Sensation Seeking in Persons With Disabilities in Rehabilitation

2018· article· en· W2803376753 on OpenAlexaff
Rebecca S. Koszalinski, R. Eric Heidel, Cynthia J. Thomson, P. David Cochran, Jon R. Nance, Al Kaye

Bibliographic record

VenueRehabilitation Nursing · 2018
Typearticle
Languageen
FieldPsychology
TopicAdventure Sports and Sensation Seeking
Canadian institutionsUniversity of the Fraser Valley
Fundersnot available
KeywordsSensation seekingPsychologySensationImpulsivityClinical psychologyRehabilitationAthletesPersonalityPhysical therapyMedicineSocial psychology

Abstract

fetched live from OpenAlex

PURPOSE: This study reports the findings of a study about sensation-seeking or high-risk/challenging sports in persons who have disabilities. DESIGN: Exploratory, cross-sectional, and descriptive. METHODS: Two hundred and twenty-three recruitment e-mails were sent to potential participants. Data were collected through Qualtrics. FINDINGS: Mean score for Contextual Sensation Seeking Questionnaire for Skiing and Snowboarding (M = 30.21, SD = 8.18) was significantly lower than a sample of able-bodied skiers and snowboarders, t(239) = 2.75, p = .006. Mean for impulsive sensation seeking was lower than the same sample of able-bodied athletes cited in a previous study, t(240) = 4.56, p = .001. Means for the Zuckerman Kuhlman Personality Questionnaire subscales were impulsivity (M = 1.98, SD = 4.05) and sensation seeking (M = 6.75, SD = 2.68). CONCLUSIONS: This group scored lower in sensation seeking compared to able-bodied high-risk/challenging sports activities participants. Sensation seeking is not a motivating factor in this sample. CLINICAL RELEVANCE: Nurses could encourage rehabilitation patients to engage in challenging activities for personal and group mastery.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.269
Threshold uncertainty score0.611

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.035
GPT teacher head0.352
Teacher spread0.317 · 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 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

Citations2
Published2018
Admission routes1
Has abstractyes

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