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Record W2996596512 · doi:10.1123/jsep.2019-0061

Exploring Self-Compassion and Versions of Masculinity in Men Athletes

2019· article· en· W2996596512 on OpenAlexafffund
Nathan A. Reis, Kent C. Kowalski, Amber D. Mosewich, Leah J. Ferguson

Bibliographic record

VenueJournal of Sport and Exercise Psychology · 2019
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsUniversity of AlbertaUniversity of Saskatchewan
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyMasculinityAthletesSelf-compassionShameSocial psychologyPsychosocialHegemonic masculinitySport psychologyCompassionMindfulnessClinical psychologyPsychotherapist

Abstract

fetched live from OpenAlex

Despite a growing emphasis on self-compassion in sport, little research has focused exclusively on men athletes. The purpose of this research was to explore the interaction of self-compassion and diverse versions of masculinity on the psychosocial well-being of men athletes. The authors sampled 172 men athletes (Mage = 22.8 yr) from a variety of sports, using descriptive methodology with self-report questionnaires. Self-compassion was related to most variables (e.g., psychological well-being, fear of negative evaluation, state self-criticism, internalized shame, reactions to a hypothetical sport-specific scenario) in hypothesized directions and predicted unique variance beyond self-esteem across most of those variables, as well as moderated relationships between masculinity and both autonomy and attitudes toward gay men. In addition, self-compassion was differentially related to inclusive and hegemonic masculinity. Our findings support self-compassion as a promising resource for men athletes to buffer emotionally difficult sport experiences.

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 score0.040
Threshold uncertainty score0.999

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)0.0020.000

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 head0.054
GPT teacher head0.324
Teacher spread0.270 · 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

Citations40
Published2019
Admission routes2
Has abstractyes

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