MétaCan
Menu
Back to cohort
Record W4386863397 · doi:10.1080/1750984x.2023.2251137

A scoping review on interpersonal coping in sports

2023· review· en· W4386863397 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

VenueInternational Review of Sport and Exercise Psychology · 2023
Typereview
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyCoping (psychology)Applied psychologyCLARITYChecklistSocial psychologyInterpersonal communicationSport psychologyInterdependenceClinical psychologySocial scienceCognitive psychologySociology

Abstract

fetched live from OpenAlex

Social relationships become crucial in times of stress and adversity. While research on interpersonal coping has acknowledged human interdependency and is gaining momentum in sport psychology, a lack of conceptual clarity and divergence in nomenclature is currently hindering the field to move forward. Thus, the aim of this scoping review was to map the current evidence on contextual characteristics, antecedents, strategies, and outcomes of interpersonal coping (i.e. communal coping, dyadic coping) in sports. Six databases were systematically searched utilizing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist. Eleven studies were included in the current review and subject to data extraction and quality assessment. Data were charted according to the PRISMA extension checklist for Scoping reviews (PRISMA-ScR). Findings show that communal coping has primarily served to investigate joint coping efforts of teams or families during significant events or transitions, while dyadic coping sheds light on stressor management between athletes, or athletes and their coaches. Further, most studies were theory-driven and employed a qualitative methodology with a cross-sectional study design. Multi-group sampling was largely neglected. We conclude by explicating research gaps based on the populations and topics studied as well as the methodologies used to propose fruitful avenues for future research.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.682
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.150
GPT teacher head0.527
Teacher spread0.377 · 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