Work-Life Balance and Gender Inequality in Sport: A Case Study of a Female Coach in Men’s Basketball in Taiwan
Bibliographic record
Abstract
This study explores how a female coach navigates work-life balance and the gender gap within the sports field. The subject of this research is a female coach of a men's university basketball team in Taiwan. Using a qualitative case study approach, the study employs semi-structured interviews, participant observation, and document analysis to examine the complex dynamics she encounters in managing both professional and domestic responsibilities. The findings indicate that the coach performs multiple roles simultaneously—including those of wife, daughter-in-law, mother, coach, teacher, and colleague. Owing to traditional gender norms, she experiences significant role conflict under the pressure of balancing career and family duties. Moreover, prevailing stereotypes about male and female athletic performance contribute to her authority being questioned by male athletes. This study suggests that enhanced communication with family may help women coaches better achieve work-life balance. It also recommends that the sports community actively continue promoting gender equity.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.014 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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".