The Long and Winding Road: An Autobiographic Study of an Elite Athlete Mother’s Journey to Winning Gold
Bibliographic record
Abstract
Within sport psychology, researchers have explored elite athlete mothers’ experiences. More work is needed to understand the nuanced psychosocial aspects of their athletic journeys. Studying autobiographical narratives is useful toward understanding the psychosocial nuances of motherhood and athletics in sociocultural context. Within the present study we sought to extend this understanding through studying one elite athlete’s—British runner Jo Pavey—journey as an athlete mother within her autobiography This Mum Runs (26 chapters totaling 253 pages). Thematic narrative analysis of key chapters focusing on pregnancy and motherhood in relation to training and competition allowed for the identification of a central theme—discovery narrative–reconfiguring the performance narrative—along with two subthemes: go with the flow and best of both worlds. The subthemes are used to illustrate the navigation of tensions in relation to an athlete mother identity grounded in family relationships to facilitate training and competition goals, within a discovery narrative. Applied sport psychology recommendations are made using narrative theory in relation to key findings. Recommendations focused on athlete stories and narrative resources as concrete entry points to encourage compatible athlete mother identities and sport career engagement. This study adds to sport psychology work that has used autobiography as theoretical, analytical, and applied resources to expand understanding of marginalized and/or hard to access topics in elite sport. This is the first autobiographic study to focus on elite athlete mother identities, furthering understanding of nuanced identity negotiation and experiences over time.Lay Summary: Understanding of elite athlete mother's negotiation of identity and athletic career is expanded through studying published/public autobiographical narratives. A discovery narrative grounded in personal growth and family relationships facilitates strategies that facilitate training and competition goals.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".