MétaCan
Menu
Back to cohort
Record W2067569594 · doi:10.1260/174795408785024117

A Review of Biomechanical Differences between Golfers of Varied Skill Levels

2008· review· en· W2067569594 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Sports Science & Coaching · 2008
Typereview
Languageen
FieldEngineering
TopicSports Dynamics and Biomechanics
Canadian institutionsWestern UniversityUniversity of Calgary
Fundersnot available
KeywordsSwingKinematicsConsistency (knowledge bases)PsychologyPhysical medicine and rehabilitationCognitive psychologyComputer scienceEngineeringArtificial intelligenceMedicineMechanical engineering

Abstract

fetched live from OpenAlex

The purpose of this article was to review and summarize the biomechanical research literature comparing golfers of different skill levels. A golfer's skill will influence their success in being able to consistently and predictably hit the ball in the desired direction for the proper distance. By scientifically investigating the differences in swing technique between players of different abilities, golfers and golf educators should gain a better understanding of how to improve performance. Analyses of the kinetic forces, kinematic timing and sequence of the various body segments, as well as the muscle activity patterns that generate movements revealed that skilled players exhibit increased force production, efficiency and consistency relative to less skilled players. However, the variability in assorted measures even amongst skilled players, raises the question of whether there is only one ideal swing method for all individuals

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.989
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.047
GPT teacher head0.326
Teacher spread0.279 · 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