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Record W3118332618 · doi:10.38021/asbid.832808

Effectiveness of a Mindfulness-Based Skill Development Program on Elite Archers’ Mental Skills and Mindfulness Levels

2020· article· en· W3118332618 on OpenAlexaboutno aff
Zeynep Ayça Terzioğlu, S. Gülfem Çakır

Bibliographic record

VenueAkdeniz Spor Bilimleri Dergisi · 2020
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMindfulnessPsychologyClinical psychologyWilcoxon signed-rank testRelaxation (psychology)Social psychologyPedagogyCurriculum

Abstract

fetched live from OpenAlex

The aim of this study was to investigate the effectiveness of a mindfulness-based skill training program on elite archers’ mental skills and mindfulness levels. This study comprised 11 elite archers from the Rio Preparation Camp 2016, ranging in age from 16 to 25 years. Five of the participants were female and six were male. The design of this study was one-group pretest-posttest design and Wilcoxon signed rank test was used for analyzing the data. Mental ability of participants was measured using The Ottawa Mental Skills Assessment Tool-3 and the Five Facets Mindfulness Questionnaire measured the mindfulness levels of the elite archers. The program upon which the study was conducted was an 8-week mindfulness-based skill training program, presented in 90 minute sessions. This study found that, in terms of mental skills, elite archers’ scores in refocusing, competition planning, activation, and relaxation significantly increased on completion of the program. According to the findings that there was also a significant increase in archers’ scores in four subscales of mindfulness: observe, acting with awareness, describe, and nonreactivity to inner experience. These results indicate that an 8-week mindfulness-based skill training program contribute to improvements in elite athletes’ mental skills and mindfulness. On completion of the program, participants experienced increased energy levels, were more focused on competition planning and found it easier to refocus.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.942
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.033
GPT teacher head0.333
Teacher spread0.300 · 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 designOther design
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

Citations5
Published2020
Admission routes1
Has abstractyes

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