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Record W3084231246 · doi:10.1123/tsp.2019-0109

Sport Biofeedback: Exploring Implications and Limitations of Its Use

2020· article· en· W3084231246 on OpenAlexaff
Kendra Nelson Ferguson, Craig Hall

Bibliographic record

VenueThe Sport Psychologist · 2020
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsWestern University
Fundersnot available
KeywordsBiofeedbackAthletesPsychologyPerceptionApplied psychologyCognitionControl (management)Computer scienceMedicinePhysical therapy

Abstract

fetched live from OpenAlex

Biofeedback is among the various self-regulation techniques that mental performance consultants can utilize in their practice with athletes. Biofeedback produces psychophysiological assessments in real time to enhance awareness of thoughts and emotions. Quantitatively, research shows that biofeedback can facilitate self-regulation, allowing an athlete to gain control over psychophysiological responses that could be detrimental to performance. With technology becoming a widespread tool in monitoring psychophysiological states, an exploration of consultants’ use of biofeedback, their perceptions of effectiveness, and limitations of their use was warranted to qualitatively evaluate efficiency of the tool. A qualitative descriptive approach was taken through semistructured interviews with 10 mental performance consultants. Inductive reasoning uncovered three themes: positive implications, practical limitations, and equipment options. With biofeedback, athletes have the ability to develop a deeper level of self-awareness and thereby facilitate the use of self-regulation strategies intended for optimal performance states and outcomes.

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)0.000
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 score0.183
Threshold uncertainty score0.670

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.387
GPT teacher head0.370
Teacher spread0.017 · 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.

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

Citations8
Published2020
Admission routes1
Has abstractyes

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