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Record W2785107669

Relació entre les velocitats finals assolides per subjectes de sexe masculí en els tests UMTT i UNCa

2016· article· ca· W2785107669 on OpenAlexaboutno aff
Gáston César García, Jeremías David Secchi, Carlos Rodolfo Arcuri

Bibliographic record

VenueApunts Medicina de l Esport · 2016
Typearticle
Languageca
FieldHealth Professions
TopicHealth and Lifestyle Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Introduccio: El proposit d’aquest estudi fou aplicar 2 tests de camp per valorar la velocitat aerobica maxima a estudiants d’educacio fisica: el test de camp de la Universite de Montreal (UMTT) i el test de camp de la Universidad Nacional de Catamarca (UNCa test), amb l’objectiu de comparar-ne la velocitat, la distancia i el temps acumulat. Material i metode: Es prengueren aleatoriament les mesures de 25 subjectes de sexe masculi, amb el test UMTT i el test UNCa. Els mesuraments es van fer en 2 ocasions. A la primera, es prengueren les mesures antropometriques basiques i s’avalua un test de camp aleatoriament. A la segona s’avalua el segon test de camp. Per analitzar les diferencies i relacions entre les velocitats i altres caracteristiques quantitatives d’ambdos tests s’aplica la prova t per a mostres relacionades i el coeficient de correlacio de Pearson, respectivament. Resultats: Els resultats mostraren que les velocitats assolides a la UMTT foren significativament inferiors a les obtingudes a la UNCa: 13,5 ± 1,4 km·h −1 vs 14,8 ± 1,3 km·h −1 (r = 0,80). Les distancies assolides a la UMTT foren significativament superiors a les obtingudes en el test UNCa: 2.243,2 ± 675,2 m vs 1.810,4 ± 343,7 m (r = 0,81). El temps acumulat en la UMTT fou significativament superior a l’obtingut al test UNCa: 12,0 ± 2,7 min vs 9,8 ± 1,3 min (r = 0,80). Conclusio: Els subjectes assoliren velocitats significativament superiors en el test UNCa en comparacio amb el test UMTT, utilitzant menys temps i distancia.

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)0.007
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.141
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.003

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 head0.036
GPT teacher head0.392
Teacher spread0.356 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2016
Admission routes1
Has abstractyes

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