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Fuerza muscular en la prevención de lesiones y el alta deportivo

2021· article· es· W4200314434 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

VenueRECIMUNDO · 2021
Typearticle
Languagees
FieldBusiness, Management and Accounting
TopicBusiness, Education, Mathematics Research
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

La producción de fuerza en el hombre es imprescindible para su desarrollo dentro del medio que le rodea y para la adaptación al mismo. En la realización del deporte profesional y amateur la fuerza constituye un componente a tomar en cuenta para el correcto desenvolvimiento del atleta, permite desarrollar el deporte con mejor nivel de competitividad y tiene un rol importante en la prevención de lesiones. Para este trabajo se estudia a atletas profesionales y amateurs que presentan lesiones en miembro inferior, valorando y comparando la fuerza bilateral por medio de la utilización de dinamómetro, para determinar la fuerza medida en kilogramos durante contracciones isométricas en duración de 5 segundos. Se determina que post lesión la fuerza muscular del lado afectado disminuye, produciendo una diferencia mayor al 15%, y a la vez se concluye que correcto plan de fortalecimiento permite disminuir la diferencia de fuerza y permite acondicionar al atleta para conceder el alta deportiva, lo que va a disminuir las posibilidades de una recidiva o lesiones desencadenadas por alteraciones o desequilibrios en la fuerza muscular.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.026
GPT teacher head0.318
Teacher spread0.292 · 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