The contextualisation of Chinese athletes’ careers in the Chinese Whole Nation System
Bibliographic record
Abstract
The current manuscript contributes to the development of culturally situated athletic career transition literature through an examination of how improved support may be developed for Chinese athletes within their training environment and the Chinese Whole Nation System (CWNS). An overview of the CWNS three-level training network is contextualised through a storied account written by two of the authors who are former Chinese elite athletes. The contextual insights of the CWNS conveyed through the blending of their shared reflective account, brings meaning to their journeys through the CWNS, whilst evoking consideration of the potential challenges and pathways embedded within Chinese athletes’ careers. The impact of the CWNS on athletes’ career development is then considered more broadly in relation to the athletic career scholarship. Highlighted is the importance of supporting aspiring athletes’ holistic development and accounting for transitions in athletes’ sport and non-sport lives as they transition through the CWNS.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".