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Exploring sport participation in individuals with spinal cord injury: A qualitative thematic synthesis

2022· dataset· en· W6920710162 on OpenAlexaff

Bibliographic record

VenueFigshare · 2022
Typedataset
Languageen
FieldMaterials Science
TopicUltrasound and Cavitation Phenomena
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsQualitative researchThematic analysisSpinal cord injuryTheme (computing)Critical appraisalPerceptionSport psychologyRehabilitation

Abstract

fetched live from OpenAlex

Individuals with spinal cord injury (SCI) are susceptible to various physical, psychological, and social challenges. Sport is an activity that may holistically address these concerns. No existing research provides an overview of the current landscape of SCI-specific sport participation. To synthesize the findings of qualitative studies exploring the perceptions of people with SCI participating in sport, in relation to physical, psychological, and social health. This thematic synthesis included studies published in APA PsycInfo, CINAHL, Embase, Emcare, Medline, and PubMed. Eligible articles studied adults who had a SCI for ≥12 months and explored experiences following ≥3 months of sport participation using qualitative or mixed-methods. Articles were excluded if participants with SCI composed less than one-third of the study sample. From 8473 unique titles and abstracts screened, 47 articles underwent full-text review and 14 articles were included. The Mixed Methods Appraisal Tool was used to critically appraise the 13 qualitative studies and one mixed-methods study. The overarching theme was that sport facilitates the progression to living an enriching life with SCI. Four sub-themes were identified within this theme: adjusting to SCI, factors influencing sport initiation, outcomes resulting from sport participation, and reshaping views of SCI. Participants detailed many benefits of sport, including improved fitness, independence, confidence, and sense of community. Beyond the participants themselves, sport helped reshape views of SCI by breaking stereotypes and inspiring others. Sport can play a crucial role in facilitating the progression to living an enriching life following SCI.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.698
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.6990.001

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 head0.198
GPT teacher head0.381
Teacher spread0.184 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2022
Admission routes1
Has abstractyes

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