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Record W2084107242 · doi:10.1139/h03-050

Training Profile Counts for Time-to-Exhaustion Performance

2003· article· en· W2084107242 on OpenAlexaffabout
Fabien A. Basset, Richard Chouinard, Marcel R. Boulay

Bibliographic record

VenueCanadian Journal of Applied Physiology · 2003
Typearticle
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsSprintCardiorespiratory fitnessTreadmillMathematicsHeart rateTest (biology)Physical therapyMedicineInternal medicineBlood pressure

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.732
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.024
GPT teacher head0.245
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations21
Published2003
Admission routes2
Has abstractyes

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