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Record W580321922 · doi:10.82308/38872

Skate boot pressure analysis of elite and recreational ice hockey skaters during the execution of tight turns

2006· article· en· W580321922 on OpenAlexaboutno aff
John McGrail

Bibliographic record

VenueeScholarship@McGill (McGill) · 2006
Typearticle
Languageen
FieldMedicine
TopicWinter Sports Injuries and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsIce hockeyRecreationComputer sciencePhysical medicine and rehabilitationMedicinePolitical science

Abstract

fetched live from OpenAlex

This study describes the biomechanics of the foot during an ice hockey tight tum.Pressure data were collected with flexible piezo-resistive sensors from 15 anatomicalpoints on both left and right feet. Participants inc1uded 8 elite (86.82 Kg +/- 6.48Kg,179.69 cm +/-6.74cm) and 8 recreationallevel (82.10Kg, +/-7.49Kg, 175.63cm +/-6.37cm) hockey players, with the elite players being members ofthe McGill varsity teamand the recreational players participating in recreational organized hockey of 10wercaliber. The data from three to four tums for both left and right tight tums were collectedand normalized, with statistical measures taken for blade contact/tum initiation, peakpressure and peak pressure at push off. Two way ANOV As showed numerous areas ofstatistical significance (p ≤ 0.05) between the elite and recreational participants. Thetracking of center of pressure was also investigated leading to sorne speculations ofadvanced techniques for the successful execution of a tight tum.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score0.683

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.007
GPT teacher head0.219
Teacher spread0.213 · 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

Citations1
Published2006
Admission routes1
Has abstractyes

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