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Record W2151897495

Start reaction time and performance time in women’s sprint at the world championships in athletics

2011· article· en· W2151897495 on OpenAlexaboutno aff
Theophilos Pilianidis, Nikos Mantzouranis

Bibliographic record

VenueStudies in physical Culture &Tourism · 2011
Typearticle
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsnot available
Fundersnot available
KeywordsSprintTrack and field athleticsAthletesFinish lineWorld classPsychologyPhysical therapyRace (biology)EngineeringMedicineGender studiesSociology
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study was to assess relationships between the start reaction time and performance time in sprinters. The data for analysis came from the women’s final events of 100 m (n = 53), 200 m (n = 53) and 100 m hurdles (n = 55) at the World Athletics Championships. The evaluation of both sprinters’ start reaction time (ms) and performance time (s) were based on the IAAF Official Reports. The regression analysis revealed that the start reaction time was not associated with sprinting performance. The multiple comparisons for the female finalists reported a significantly faster start reaction time only in the 200 m race in Sydney 1997 in relation to Paris 2003 (p < 0.05) as well as significantly better performance in the 200 m event during the World Championships in Seville in 1999 in relation to the Edmonton championships in 2001 only (p < 0.05). Conclusively, in world-class female athletes the faster start reaction time did not bring any advantage at the finish line during sprint events.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
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)0.0040.001

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.

Opus teacher head0.046
GPT teacher head0.292
Teacher spread0.247 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations2
Published2011
Admission routes1
Has abstractyes

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