MétaCan
Menu
Back to cohort
Record W4399679198 · doi:10.47197/retos.v57.104569

Frecuencia de zancada durante la carrera de resistencia en tapiz rodante y al aire libre (Stride frequency patterns during both treadmill and outdoor running in endurance runners)

2024· article· es· W4399679198 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

VenueRetos · 2024
Typearticle
Languagees
FieldMedicine
TopicSports Performance and Training
Canadian institutionsCarré Technologies (Canada)
Fundersnot available
KeywordsHumanitiesPhysicsSTRIDEArtMedicinePhysical medicine and rehabilitation

Abstract

fetched live from OpenAlex

Los objetivos fueron i) estudiar la concordancia entre un reloj deportivo (Suunto Ambit2) y un sistema fotoeléctrico (Optogait) como instrumento referencia para medir la frecuencia de zancada (FZ) y la longitud de zancada (LZ); ii) observar las FZ y LZ durante la carrera al aire libre; y iii) analizar el efecto de la manipulación de la FZ en la economía de carrera monitorizada por un analizador de gases en función de las FZ encontradas en el análisis observacional. Ciento-sesenta corredores fueron analizados entre 8-14 km·h-1. El dispositivo Suunto Ambit2 concordó con el sistema de referencia en la medición de la FZ y la LZ [r=0.99 (0.99-1.00); Error Típico de la Estimación=0.58 zancadas∙min-1 y 0.02m]. Los corredores mantuvieron una FZ constante [Coeficiente de Variación (CV)=2.4%] aun cuando hubo variaciones en la velocidad (CV=6.8%), y dependieron de la LZ (CV=6.5%) durante las carreras al aire libre. Por último, los corredores mantuvieron un bajo coste de carrera con su FZ autoseleccionada (media=81.3 zancadas∙min-1), aunque un incremento hasta el 12% podría ser beneficioso cuando la velocidad varía sin detrimento en el coste de carrera. Palabras clave: Cadencia, Economía de Carrera, Velocidad, Exterior Abstract. This study aimed i) to study the agreement between a sports watch (Suunto Ambit2) with a photoelectric device (Optogait) as a reference instrument on measuring stride frequencies (SF) and stride lengths (SL); ii) to observe the stride patterns during outdoor running; and iii) to analyse the effect of SF manipulations on running economy monitored by a gas analyser and based on the observational analysis. One hundred and sixty recreational runners were analysed at speeds between 8-14 km·h-1. The Suunto Ambit2 agreed with the reference system [r=0.99 (0.99-1.00); Typical Error of the Estimate=0.58 strides∙min-1 and 0.02m]. Runners tended to maintain SF constant [Coefficient of Variation (CV)=2.4%]) during variations in speed (CV=6.8%) while relied on SL (CV=6.5%) adjustments during outdoor running. Finally, runners seemed to maintain a low running cost with their auto-selected SF (average=81.3 strides∙min-1), but an increase of up to 12% could be benefit when speed changes, without running cost detriment. Key words: Cadence, Running Economy, Velocity, Outdoor.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.006
GPT teacher head0.261
Teacher spread0.255 · 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