Athlete Experiences of Transitioning from Amateur to Professional Sports: A Grounded Theory Approach
Bibliographic record
Abstract
Objective: The current study aims to explore the experiences of athletes transitioning from amateur to professional sports. Methods and Materials: A qualitative research design was employed, utilizing a grounded theory approach. Data were collected through semi-structured interviews with 22 athletes residing in Ontario, Canada, who had transitioned to professional sports within the past three years. Participants were selected using purposive sampling to ensure diverse representation across sports disciplines. Interviews were conducted in person or via video conferencing, lasting between 60 to 90 minutes, and were audio-recorded with consent. Data analysis involved open, axial, and selective coding to identify themes and develop a substantive theory. Findings: The study identified four main themes: transition challenges, support systems, personal growth, and external influences. Athletes reported significant psychological adjustments, including identity crises and performance anxiety. Financial struggles due to lack of sponsorship and high living costs were prevalent. Social life changes, such as isolation from family and friends, and increased physical demands were notable challenges. Effective support systems involving family, coaches, peers, and institutions were crucial for navigating these challenges. The transition also facilitated personal growth in skill development, mental toughness, and career management. External factors, including media scrutiny and cultural influences, significantly impacted athletes' experiences. Conclusion: The transition from amateur to professional sports involves multifaceted challenges that require comprehensive support systems. Psychological, financial, social, and physical adjustments are significant, and robust support from family, coaches, peers, and institutions is essential. Addressing these challenges through tailored interventions and support mechanisms can enhance athletes' well-being and success in professional sports.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.008 | 0.013 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".