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Record W1973121252 · doi:10.1080/02640414.2012.736634

Effects of a shoot training programme with a reduced hoop diameter rim on free-throw performance and kinematics in young basketball players

2012· article· en· W1973121252 on OpenAlexaff
Riadh Khlifa, Ridha Aouadi, Roy J. Shephard, Mohamed Souhaiel Chelly, Souhail Hermassi, Tim J. Gabbett

Bibliographic record

VenueJournal of Sports Sciences · 2012
Typearticle
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBasketballKinematicsTraining (meteorology)Bench pressPhysical therapyBall (mathematics)MathematicsMedicineSimulationPhysical medicine and rehabilitationOrthodonticsEngineeringPhysicsGeometryResistance trainingGeographyMeteorology

Abstract

fetched live from OpenAlex

The present paper investigated the effects of a shoot training programme with a reduced hoop diameter (0.35 m) rim on kinematics and performance of basketball free-throws. Eighteen young male basketball players were divided into control (CG, n = 9) and experimental (EG, n = 9) groups. Both groups undertook a 10-week training programme comprising two training sessions per week. Under fatigued conditions, each participant shot 150 free-throws in each training session, with the CG using a standard rim, and the EG a smaller rim. All other training was identical between groups. Ball release parameters, player's kinematics and mean of successful free-throws (out of 150 attempts) were determined for each participant, before and after completion of the training programme. Following training, a significant increase (P < 0.05) in ball release angle, speed and height and in shoulder joint angle at release (P < 0.01) was observed for the EG. Both the CG (P < 0.001) and the EG (P < 0.0001) showed an increase in the number of successful free throws, although the increase was greater (P < 0.05) for the EG (22.7 ± 6.4 free throws) than for the CG (14.6 ± 7.8 free throws). We conclude that training with a reduced rim significantly improves free-throw performance in young basketball players.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.356

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0000.000

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 head0.031
GPT teacher head0.270
Teacher spread0.240 · 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

Citations19
Published2012
Admission routes1
Has abstractyes

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