Mothers' experiences of sport: "Rather than just being a soccer mom I'm now a mom who plays soccer"
Bibliographic record
Abstract
The purpose of this study was to examine mothers' experiences of sport with a view to identifying issues that may be useful for promoting sport participation in the future. Physical activity levels and sports participation tend to decline when women become mothers (Bell & Lee, 2005). Nine mothers with children between 6-12 years of age participated in two semi-structured interviews about their soccer experiences. Thematic analysis was conducted using Interpretive Phenomenological Analysis (IPA) and the analysis uncovered four main themes: positive team experiences, emotions, strategies for fitting soccer in, and role modelling and encouraging others. Positive team experiences were the socialization aspect of playing soccer. The mothers placed emphasis on the importance of having social interactions with other women combined with being active. Strategies for fitting soccer in included spousal support, organizational strategies, and making soccer a priority. Without spousal support many of the mothers felt it would be very difficult to play soccer. Being an active role model was important because it encouraged their families to be more active together. An implication of this study is that these mothers value the socialization that soccer provides and enjoy being able to play a sport they can share with their families. The findings of this study can help to direct sport participation marketing campaigns aimed at this demographic in the future because they provide insight into the experiences of mothers who actually participate.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".