Analysis of the Current Situation of Special Physical Education in China from 2002 to 2022
Bibliographic record
Abstract
Accompanied by economic development, special physical education has received more and more attention from special educators for its unique functions. In order to explore the current situation of special physical education research development, this paper uses bibliometric analysis to analyze 84 core literatures on special physical education included in China Knowledge Network (CNKI) from 2002 to 2022. The results show that the volume of research journals on special physical education in China shows a wave-like ebb and flow; the researchers are mainly distributed in teacher training colleges or comprehensive colleges and universities, forming several smaller cooperative groups; publications such as Chinese Journal of Special Education are the main issuing journals in this field; and the hotspots of the research are mainly centered on the hardware construction of special physical education, the faculty, and the curriculum and other related contents. In the future, the research on special physical education should be strengthened in conjunction with medicine, rehabilitation, psychology, education and other related disciplines.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.028 | 0.051 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".