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Record W7065739385

Exploring the Experiences of First-Time Ultramarathon Athletes

2023· article· en· W7065739385 on OpenAlexaff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Compatibility and Measurements
Canadian institutionsDalhousie University
Fundersnot available
KeywordsThematic analysisAthletesMental healthPopularityTransformative learningElite athletesPsychological interventionInterpretative phenomenological analysisReflexivity
DOInot available

Abstract

fetched live from OpenAlex

In recent years, the growing popularity of ultramarathon events (endurance footraces longer than the 42.2km marathon) has attracted a range of participants from elite endurance athletes to recreational runners. Using a phenomenological approach, this study addresses a gap in the existing ultramarathon literature by highlighting experiences of first-time ultramarathon participants. This research builds on our understanding of ultrarunners’ psychology by exploring the development and application of mental skills used by these athletes while training for and competing in an ultramarathon. Eight individuals participated in this study, with data collection taking place at three time-points in their journey via a pre-race questionnaire, post-race journal, and follow-up one-on-one virtual interview. Qualitative data from interview transcripts and journals were analyzed together using reflexive thematic analysis, and results are presented in five major themes: (1) Preparation for the Race, (2) Physical Challenges, (3) Mental Challenges, (4) Relationships and Support, and (5) Personal Transformation. These results highlight a range of mental skills (e.g., goal-setting, imagery, self-talk, and attentional control) used by participants in their first ultramarathon. Barriers and facilitators for developing these skills are discussed (e.g., access to course-specific information). Results suggest that training for and completing in one’s first ultramarathon can be a transformative experience with impacts beyond the sport. The findings from this research have practical applications for athletes, coaches, mental performance consultants, and race directors. It also offers insight on the development of mental skills that has applications beyond the ultramarathon, for example when persevering through other challenging life events.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.230
Threshold uncertainty score0.169

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)0.0000.000

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 head0.064
GPT teacher head0.220
Teacher spread0.156 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2023
Admission routes1
Has abstractyes

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