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Record W4389784821 · doi:10.20868/mhd.2023.25.5108

Galeno entrenador. Una lectura de De Sanitate Tuenda = Galen, the coach. A Reading of De Sanitate Tuenda

2023· article· es· W4389784821 on OpenAlexaff
Reyes Bertolín Cebrián

Bibliographic record

VenueMateriales para la historia del deporte · 2023
Typearticle
Languagees
FieldSocial Sciences
TopicDoping in Sports
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsHumanitiesArtPsychology

Abstract

fetched live from OpenAlex

ResumenA Galeno se le conoce principalmente por sus críticas hacia el deporte profesional. Sin embargo, el presente artículo demuestra que era muy buen conocedor de las prácticas deportivas cotidianas y de los ejercicios practicados para desarrollar la velocidad, la fuerza y la potencia. Se deriva de esto que debió de observar a los atletas en sus entrenamientos muy atentamente. En su tratado Sobre la Salud (De Sanitate Tuenda) Galeno también habla acerca de la necesidad del calentamiento y enfriamiento para evitar la fatiga, la importancia de individualizar el entrenamiento y los momentos adecuados para la práctica deportiva. La terminología utilizada por galeno ha llegado hasta nuestros días. AbstractGalen is usually known as a critic of professional sport. On the other hand, I contend in this article that he was very familiar with the techniques needed for developing the strength, power and speed of the athletes and the daily routines of exercise. He must have observed athletes during their training very carefully. In his treatise On Health (De Sanitate Tuenda) Galen describes the need for warming up and cooling down when exercising as a way to avoid fatigue. He mentions also the importance of adapting the training routines to individuals and training at the proper time. His terminology is very modern and has arrived to us.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.645
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.026
GPT teacher head0.316
Teacher spread0.290 · 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.

Study designNot applicable
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
Published2023
Admission routes1
Has abstractyes

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