Training Profile Counts for Time-to-Exhaustion Performance
Bibliographic record
Abstract
The objective of this study was to compare the time to exhaustion (Tlim) at maximal aerobic speed (v.VO2max) in middle- and long-distance runners. Five middle-distance (MDR) and 5 long-distance (LDR) male runners, ages 28 +/- 7 years, were tested running on a treadmill, with the Université de Montréal Track Test (UMTT), on maximal velocity and on time-to-exhaustion track tests. During the laboratory test, cardiorespiratory variables (e.g., HR, .VO2max, .VCO2, .VE) were assessed. Second, running velocity at .VO2max (v.VO2max) during the UMTT was determined and HR values were recorded; also, maximal velocity on a 30-m sprint (V30) and maximal heart rate (HR max) and time to exhaustion were determined on the track. No significant difference was observed between groups during the multistage treadmill test. Significant differences were found between groups for V30 and Tlim, with MDR showing a 23% longer running time than LDR. The results of the present study demonstrated that the training profile of middle-distance and long-distance runners plays a significant role in Tlim performance when v.VO2max is obtained during a test with short-duration stages.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".