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Record W1496792187 · doi:10.1520/stp11620s

The Effects of an Upper-Body Plyometrics Program on Male University Hockey Players

2004· book-chapter· en· W1496792187 on OpenAlexaff
MA Fergenbaum, G. Wayne Marino

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldMedicine
TopicSports injuries and prevention
Canadian institutionsUniversity of WindsorQueen's University
Fundersnot available
KeywordsPlyometricsField hockeyUpper bodyPsychologyPhysical therapyPhysical medicine and rehabilitationAeronauticsAdvertisingMedicineEngineeringPhysical fitnessBusinessPhysics

Abstract

fetched live from OpenAlex

The relationship between plyometrics training, upper-body isometric strength, stick velocity and puck velocity for the slap shot was examined for male university hockey players over 10 weeks. Twenty-one volunteers were divided into either an experimental or a control group. The experimental (plyometrics) group was pre- and post-tested for upper-body isometric strength and slap shot puck and stick velocity. Results showed that puck velocity increased (p<0.05) from pre- to post-testing, with no differences between groups. Stick velocity increased 13% (p<0.05) for the experimental group at post-testing. No significant correlations were found between isometric strength, stick velocity and puck velocity; however, a positive correlation was found between changes in stick velocity (off-ice) and changes in puck velocity (on-ice). Results suggest that plyometrics may improve ballistic coordination between the upper and lower limbs in as little as 6 ± 2 sessions.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

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)0.0100.001

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 head0.007
GPT teacher head0.246
Teacher spread0.239 · 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
Published2004
Admission routes1
Has abstractyes

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