What Support Do Australian Sporting Organizational Policies Provide to Pregnant and Parenting Elite Athletes? A Scoping Review
Bibliographic record
Abstract
Elite athletes are increasingly competing during pregnancy and returning to high-performance sport postpartum. Despite this, athletes highlight insufficient organizational support as a significant barrier to their successful return. This review explores the nature and extent of organizational provisions of support currently available to pregnant and parenting athletes within Australia. An extensive search for policies from national sporting organizations and major sporting leagues resulted in 22 relevant policies. Current provisions of support include paid parental leave and other financial supports, flexible work environments and job transfers, categorization and eligibility protection, access to additional facilities and services, and travel support. Only 12 policies were developed with stakeholder engagement (e.g., input from athletes and staff). Further research exploring barriers among pregnant and parenting elite athletes is needed to guide national policy development. In addition, future policies should be established in collaboration with key stakeholders to ensure that organizational priorities align with the needs of the athletes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".