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Record W45952794

ANATOMICAL AND PHYSIOLOGICAL FACTORS IN ELITE FEMALE KAYAKERS

2008· article· en· W45952794 on OpenAlexaboutno aff
Robert Y. Shapiro, Jay T. Kearney

Bibliographic record

VenueISBS - Conference Proceedings Archive · 2008
Typearticle
Languageen
FieldMedicine
TopicWinter Sports Injuries and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsAnthropometryEliteAthletesGermanStyle (visual arts)AppealElite athletesGeographyPolitical scienceMedicinePhysical therapyLaw
DOInot available

Abstract

fetched live from OpenAlex

Olympic-style kayak racing for women does not command the spectator appeal and media attention of events such as track and field, swimming, and gymnastics. Consequently, there have been a limited number of investigations designed to describe the anthropometric and physiological characteristics of these athletes. Much of the work that has been done has remained unpublished. National team coaches and trainers from such countries as Federal Republic of Germany, German Democratic Republic, Sweden, Hungary, Canada, and the United States have done assessments as part of evaluations but in general, these data are unavailable. The purposes of this paper are to: (a) review the anthropometric and physiological data available on female Olympic-style kayakers; (b) present some unpublished evaluation data on U.S. paddlers, and (c) discuss the implications for application of anthropometric and physiological evaluations in canoe sport.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.555

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)0.0000.000

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 head0.048
GPT teacher head0.280
Teacher spread0.232 · 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.

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
Published2008
Admission routes1
Has abstractyes

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