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Record W3084229903 · doi:10.3389/fpsyg.2020.02199

Editorial: Adaptation to Psychological Stress in Sport

2020· editorial· en· W3084229903 on OpenAlexaff
Martin J. Turner, Marc V. Jones, Anna C. Phillips, Sylvain Laborde, Sarah E. Williams, Carla Meijen, Katherine A. Tamminen

Bibliographic record

VenueFrontiers in Psychology · 2020
Typeeditorial
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologySport psychologyPsychological scienceAdaptation (eye)Applied psychologyCognitive psychologySocial psychologyNeuroscience

Abstract

fetched live from OpenAlex

Adaptation to Psychological Stress in SportPsychological stress is ubiquitous in sport.Unsurprisingly then, research that examines the antecedents, correlates, consequences, and interventions pertaining to psychological stress in sport is sizable and broad.With this Research Topic we aimed to capture the breadth and depth of work taking place around the theme of adaptation to psychological stress in sport.Pleasingly, 111 authors responded to our call for papers, contributing 25 papers between them.In this Editorial we undertake the difficult task of synthesizing these contributions, and highlight important implications that could influence future research and practice.One thing that is clear from this Research Topic, is that adaptation to psychological stress is truly a biopsychosocial phenomenon.Whether papers explore biological (bio), psychological (psycho), or social constructs, or a combination of the three, any collective conclusions drawn from the contributions here must involve an appreciation of all three facets.The multiple ways in which these facets interact to predict and impact upon affective and behavioral outcomes within a sport setting is complex, which is one of the reasons we do not have a single unified way of understanding adaptation to psychological stress.In this Research Topic we have some useful theories that capture this biopsychosocial perspective, including two revised theories of challenge and threat states in sport.Indeed, numerous papers within this Research Topic align with and draw upon challenge and threat theory.Britton et al. provide an important piece of work that speaks to the complex interaction of constructs that are implicated within challenge and threat theory.They recruited adolescent athletes who completed self-reported stress reactivity and cognitive appraisals on approach to competition and a retrospective assessment of emotions, coping strategies, and subjective performance.The path analysis revealed that perceived stress reactivity had direct and indirect effects on the appraisal of higher stressor intensity, lower perceived control, higher perceived threat, negative emotions, and maladaptive coping.Increased threat, positive and negative emotions, and maladaptive coping were associated with performance satisfaction.The complex interaction of cognitive appraisal constructs and affect is also captured by Harwood et al. in their study of stress among parents of competitive British tennis players, in which they consider the primary appraisals, emotions, and coping strategies associated with self-disclosed stressors.The mixed methods analyses showed that a range of organizational, competitive, and developmental stressors were predominantly appraised as harm or challenge, and that anxiety and anger were the most prominent emotions experienced by parents.In particular, parents experienced greater anger in

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)0.007
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.017
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.029
Meta-epidemiology (narrow)0.0050.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0040.002
Science and technology studies0.0040.002
Scholarly communication0.0080.004
Open science0.0040.002
Research integrity0.0140.016
Insufficient payload (model declined to judge)0.0170.015

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 head0.021
GPT teacher head0.358
Teacher spread0.337 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations9
Published2020
Admission routes1
Has abstractyes

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