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Record W4399046622 · doi:10.1177/21582440241254155

Impact of COVID-19 Sport Cancelations on the Self-Identity and Psychological Distress of High School Student-Athletes

2024· article· en· W4399046622 on OpenAlexaffabout
Camille Sabourin, Martin Camiré, Stéphanie Turgeon

Bibliographic record

VenueSAGE Open · 2024
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsUniversité du Québec en OutaouaisUniversity of Ottawa
Fundersnot available
KeywordsAthletesCoronavirus disease 2019 (COVID-19)PsychologyPsychological distress2019-20 coronavirus outbreakIdentity (music)DistressSociology of sportSocial psychologySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)CoronavirusClinical psychologyMental healthSociologyGender studiesMedicinePsychotherapistArtPhysical therapy

Abstract

fetched live from OpenAlex

The stay-at-home measures enacted during the COVID-19 pandemic led to sudden changes in the lives of individuals worldwide. For high school student-athletes, these changes meant transitioning to online schooling, heavily reducing their social activities, and enduring the cancelation of sport activities. Scholars have expressed concerns related to the potential consequences of these changes on adolescents’ self-identity and psychological distress. The purpose of the present study was to qualitatively explore how the changes induced by the COVID-19 pandemic affected high school student-athletes’ self-identity and psychological distress. Twenty-two Canadian high school student-athletes were interviewed using a semi-structured interview format. Transcripts were subjected to a reflexive thematic analysis, leading to the creation of four central themes: (a) Pre-COVID Identity; (b) COVID Identity Confusion; (c) COVID Psychosocial Distress; and (d) Learning to Dance in the COVID Rain. This study sheds light on the pandemic-related experiences of high school student-athletes in relation to sport cancelation measures and provides insights into how stay-at-home restrictions impacted self-identity and psychological distress levels. These results can help inform interventions aimed at supporting the well-being of high school student-athletes now that school sport programs have resumed operations.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.071
GPT teacher head0.504
Teacher spread0.434 · 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.

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

Citations1
Published2024
Admission routes2
Has abstractyes

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