Achievement Despite Adversity: A Qualitative Investigation of Undrafted National Hockey League Players
Bibliographic record
Abstract
Adversity is viewed as both an inevitable and an important experience for elite athletes. The purpose of this study was to explore elite athletes’ perceptions of the experiences and characteristics that helped them overcome a shared sport-specific adversity. Semistructured interviews were conducted with 12 professional athletes (Mage = 27.25, SD = 3.28 yr) who had progressed to careers in the National Hockey League (NHL) despite not being selected in the annual amateur entry draft. Participants discussed their long-term objectives of playing in the NHL, previous experiences with adversity, certain psychological characteristics that facilitated their progression (e.g., competitiveness, passion, confidence), and the significance of social support as key factors that helped them overcome the initial and subsequent adversities associated with being unselected during the amateur entry draft. Practical implications and proposed avenues for future research are discussed in the context of the study’s limitations.
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.011 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".