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Record W2054093538 · doi:10.5206/wurjhns.2012-13.1

A Comparison of Two Swimming Start Techniques from the Omega OSB11 Starting Block

2012· article· en· W2054093538 on OpenAlexaffvenue
Donna H. Murrell, Andrew Dragunas

Bibliographic record

VenueWestern Undergraduate Research Journal Health and Natural Sciences · 2012
Typearticle
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsWestern University
Fundersnot available
KeywordsTrack (disk drive)ReplicaBlock (permutation group theory)OmegaSimulationComputer scienceReal-time computingMathematicsPhysicsOperating systemVisual artsCombinatoricsArt

Abstract

fetched live from OpenAlex

Recently the world governing body of aquatic sport has approved the use of a new starting platform (Omega OSB11), and it is currently being used at all international events. Due to the recent approval, swimmers are modifying their start techniques to be able to maximize performance from the new platform. This study investigated the effectiveness of the grab and track competitive swimming start techniques off of the Omega OSB11 start block using a single-subject experimental design. A replica start block was constructed with an embedded force plate. Four subjects participated in this study; two males and two females. The protocol consisted of six starts; three of the track start technique, and three of the grab start technique. Using kinetic data collected from the force plate and signal from an electronic starter, the time to two-meters was predicted. A two-tailed paired t-test was used to determine if the track starts were significantly faster than the grab starts for each subject. Results show that all four subjects were faster to the two-meter mark using the track start technique than the grab start method. Our findings suggest that swimmers should consider using the track start over the grab start on the Omega OSB11 platform.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.175
GPT teacher head0.501
Teacher spread0.326 · 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 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

Citations14
Published2012
Admission routes2
Has abstractyes

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