A Bibliometric Analysis of Research Conducted on Sport and Physical Activity in Individuals with Autism Spectrum Disorder
Bibliographic record
Abstract
The study presents a bibliometric analysis of studies conducted on sport and physical activity in individuals with autism spectrum disorder (ASD). 490 articles determined on Web of Science database in line with the purpose of the study were included in the data analysis. The results obtained show that there was a limited number of studies in this field before 2006, but that research has gained pace in this regard in recent years. It was found that the relevant research concentrated in countries such as the USA, China, Canada, and Turkey. On the other hand, such research was encountered less in some African and Asian regions involving underdeveloped countries. In addition, the analyses performed demonstrated that the number of studies which emphasized the importance of sport and physical activity in individuals with ASD in terms of developing their educational and life skills was higher. Besides, it was determined that more research was needed on issues such as mental health, executive functions, and adapted physical activity. In conclusion, the importance of research on sport and physical activity in individuals with ASD was emphasized, and the need for more research in this field was expressed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.046 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.194 | 0.200 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".