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Record W3157524757 · doi:10.1519/ssc.0000000000000643

A Review of Striking Force in Full-Contact Combat Sport Athletes: Methods of Assessment

2021· review· en· W3157524757 on OpenAlexaff
Seth Lenetsky, Aaron Uthoff, Joseph Coyne, John Cronin

Bibliographic record

VenueStrength and conditioning journal · 2021
Typereview
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsCanadian Sport Centre Pacific
Fundersnot available
KeywordsMartial artsAthletesApplied psychologyPsychologyReliability (semiconductor)Track and field athleticsComputer scienceMedicinePhysical therapyHistory

Abstract

fetched live from OpenAlex

ABSTRACT With striking force playing such a critical role in the success of full-contact combat sports such as mixed martial arts, taekwondo, and boxing, coaches and scientists must be able to track this performance metric accurately and reliably. This review will cover practitioner understanding of key kinetic variables used in the assessment of striking important concepts relating to the validity, reliability, and reporting of meaningful performance changes in the assessment process, a critique of the methods used to monitor changes in striking forces, and provide practical recommendations for practitioners in the field. This understanding will help coaches and scientists assess and interpret the effectiveness of training.

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)0.005
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0080.006
Science and technology studies0.0000.001
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.050
GPT teacher head0.434
Teacher spread0.384 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations24
Published2021
Admission routes1
Has abstractyes

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