MétaCan
Menu
← Back to cohort
Record W3213208476 · doi:10.33000/mlspr.v4i2.607

Evitación experiencial y ansiedad en deportistas de alto rendimiento

2021· article· es· W3213208476 on OpenAlexaff
Cristina María Calle Abarca

Bibliographic record

VenueMLS Psychology Research · 2021
Typearticle
Languagees
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsGLS Industries (Canada)
Fundersnot available
KeywordsHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

El objetivo principal de este estudio es correlacionar la evitación experiencial y ansiedad precompetitiva (ansiedad somática, ansiedad cognitiva y autoconfianza) para conocer sí es pertinente proponer futuras intervenciones con la Terapia de Aceptación y Compromiso (ACT) en el ámbito deportivo. Se utilizó un diseño observacional correlacional transversal en una muestra no clínica de 93 deportistas de alto rendimiento de ambos sexos de edades comprendidas entre 15 y 46 años, mediante el AAQ-II y el CSAI-2R. Se realizaron análisis descriptivos y correlacionales en las variables de interés. Los resultados informaron de una relación lineal positiva significativa entre la evitación experiencial con la ansiedad somática y ansiedad cognitiva, es decir; a más de una variable más de otra y una relación lineal negativa o inversa con la autoconfianza, con lo cual; a más de una variable, menos de la otra. Los resultados presentados se alinean con investigaciones anteriores y con lo que se pretende demostrar, como la evitación experiencial la ansiedad precompetitiva influye en el rendimiento deportivo.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.122
GPT teacher head0.512
Teacher spread0.390 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueMLS Psychology Research→Same topicMotivation and Self-Concept in Sports→French-language works237,207→