MétaCan
Menu
Back to cohort
Record W4327713330 · doi:10.1519/ssc.0000000000000778

The Role and Development of Strength for Elite Judo Athletes

2023· article· en· W4327713330 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

VenueStrength and conditioning journal · 2023
Typearticle
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsCanadian Sport Centre Pacific
Fundersnot available
KeywordsAthletesIsometric exercisePsychologyAdversaryPhysical medicine and rehabilitationEliteApplied psychologyDominance (genetics)Physical therapyComputer scienceMedicineComputer securityPolitical science

Abstract

fetched live from OpenAlex

ABSTRACT The Olympic combat sport of judo is characterized by high-intensity intermittent efforts to throw an opponent to the ground, pinning, or submitting them. High-level judo coaches have established neuromuscular performance as one of the key performance indicators in judo. This is likely because the judo athlete performs several neuromuscular challenges, including establishing grip dominance while engaging an opponent when standing, performing highly technical throws, and exerting dynamic and isometric contractions to control an opponent on the ground. As such, a stronger judo practitioner has an advantage over opponents with comparable technical ability. With that in mind, this review aims to examine the role different types of strength play in judo performance and provide training recommendations based on neuromuscular attributes for training elite judo athletes.

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)0.000
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 score0.843
Threshold uncertainty score0.440

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 studies0.0010.000
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 head0.015
GPT teacher head0.272
Teacher spread0.257 · 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