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Record W4391457493 · doi:10.61838/kman.hn.1.3.5

Mind and Body in Sync: The Fascinating Field of Psychophysiology in Sports

2023· article· en· W4391457493 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

VenueHealth Nexus · 2023
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsPsychophysiologysyncField (mathematics)Cognitive sciencePsychologyComputer scienceNeuroscienceTelecommunicationsMathematics

Abstract

fetched live from OpenAlex

This letter to the chief editor delves into the captivating world of psychophysiology in sports, an interdisciplinary field that explores the dynamic interplay between the mind and body in athletic contexts. It outlines the fundamental concepts of psychophysiology, emphasizing its significance in understanding how psychological states influence physical performance. The letter highlights key historical developments and pivotal research that have shaped our understanding of this field, illustrating how psychophysiological principles have been integrated into sports science. It further discusses the practical applications of these principles in enhancing sports performance, including techniques like biofeedback, mental training, and stress management. The letter addresses existing challenges in the field, such as the need for comprehensive research and the integration of psychophysiological practices in training regimens. It concludes with a forward-looking perspective, emphasizing the potential for future advancements and the importance of continued exploration in this area. The letter aims to draw attention to the importance of psychophysiology in sports, advocating for greater recognition and application within the sports community, and suggesting a pathway for future research and collaboration.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
Threshold uncertainty score0.409

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.030
GPT teacher head0.406
Teacher spread0.376 · 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