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Record W4392400541 · doi:10.2478/bhk-2024-0008

Wingate normative-reference values for a large cohort of Canadian university students

2024· article· en· W4392400541 on OpenAlex
Adriana M. Duquette, Olivia Morassutti, Lauren Gyemi, Paula M. van Wyk

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueBiomedical Human Kinetics · 2024
Typearticle
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsMcMaster UniversityUniversity of Windsor
Fundersnot available
KeywordsWingate testPercentileNormativeBody mass indexTest (biology)Anaerobic exerciseCohortPopulationDemographyMedicinePhysical therapyStatisticsPsychologyIndex (typography)MathematicsEnvironmental healthInternal medicineComputer science

Abstract

fetched live from OpenAlex

Abstract Study aim : The Wingate Anaerobic Test evaluates anaerobic power and capacity. Used to assess performance, historically among athletic populations, its evaluative capacity for individuals of varying athletic abilities is limited by a lack of normative data based on large participant populations. This study developed Wingate normative-reference values based on a large-scale cohort that is representative of the Canadian university student population. Material and methods : Data were collected from 872 participants, aged 20 to 29 years (mean body mass index [BMI]: 24.44 kg/m 2 ). Testing was completed on a cycle ergometer using a widely recognized protocol, with resistance set at 7.5% of participants’. An independent samples t-test was used to compared the means of dependent variables (i.e., peak power [PP], mean power [MP], and fatigue index fi) and test for statistical significance (p < 0.05) between sexes, and Cohen’s d determined effect size. Results : Males had higher PP and MP (W and W · kg −1 ), whereas females exhibited lower FI (%). Statistically significant differences between sexes were observed for all variables. Conclusions : Collected data yielded normative-reference standards, including percentile rankings and performance classifications. These norms will allow for significant practical applications, including an effective method to assess anaerobic performance and health.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.360
Threshold uncertainty score0.329

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.036
GPT teacher head0.319
Teacher spread0.282 · 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