Infographic. Running myth: switching to a non-rearfoot strike reduces injury risk and improves running economy
Bibliographic record
Abstract
Endurance running is associated with high rates of injury,1 with injury causation often complex and multifactorial.2 Running biomechanics are thought to play a role in the aetiology of running-related injury.3 Therefore interventions to change running technique may assist in the prevention and management of injuries.4 The overwhelming majority of recreational shod distance runners run with a rearfoot strike pattern.5 Running with a rearfoot strike has been retrospectively associated with greater risk of running-related injury,6 and switching to a non-rearfoot strike pattern has been reported to improve symptoms in runners with anterior lower leg pain and patellofemoral pain.7 8 As such, changing strike pattern has become a commonly considered and promoted strategy when attempting to prevent and manage injury in endurance runners9 (see figure 1). Many elite …
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".