Response to criticisms of the 20 m shuttle run test: deflections, distortions and distractions
Bibliographic record
Abstract
In their editorial, Armstrong and Welsman1 suggest that the 20 m shuttle run test (20mSRT) (mis)represents and (mis)interprets youth cardiorespiratory fitness (CRF), and potentially (mis)informs health promotion and clinical practice. Their main arguments are: (a) the 20mSRT only provides an estimate of CRF (ie, peak ![Formula][1] O2) and (b) estimates are ratio-scaled (ie, expressed relative to body mass). In this response we provide several reasons, rooted in evidence, which refute their interpretation of our work. CRF measures the body’s capacity to deliver and utilise oxygen for energy transfer to support muscle activity during physical activity.2 The 20mSRT provides a simple, single measure that assesses the integrated responses of the physiological systems’ ability to perform progressive aerobic exercise. Unfortunately, it does not provide specific information on the function or contribution of specific systems that can be obtained from a gas analysed peak ![Formula][2] O2 test. The 20mSRT is a good measure of functional exercise capacity that authentically imitates youth physical activities (eg, running, agility) in a natural setting. At the individual level, the 20mSRT is a true indicator of peak ![Formula][3] O2 (absolute or … [1]: /embed/mml-math-1.gif [2]: /embed/mml-math-2.gif [3]: /embed/mml-math-3.gif
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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 | 0.020 | 0.132 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.042 | 0.057 |
| Insufficient payload (model declined to judge) | 0.005 | 0.006 |
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".