Development of sport policy and practice recommendations for pregnant, postpartum and parenting Canadian high-performance athletes
Bibliographic record
Abstract
Our objective is to describe the development of evidence-based policy and practice recommendations for pregnant, postpartum and parenting Canadian high-performance athletes. A community-based participatory research approach was employed as the study design, and data were generated via a rapid review of existing sport policy for pregnant and postpartum athletes, followed by an extensive consultation and engagement process with key sport stakeholders via survey and one-on-one and group interviews. 102 sport stakeholders participated via the survey (n=56), individual and group interviews (n=33), and follow-up interviews (n=13). Individuals represented a range of summer/winter Olympic and Paralympic athletes, medical and support staff, National Sport Organisations and Sport Canada representatives. Seven evidence-based policy and practice recommendations were developed for Sport Canada decision-makers. Recommendations include the need for Sport Canada to (a) establish two new cards for pregnant and parenting athletes, (b) develop a policy to support pregnant, postpartum and parenting athletes, (c) create new funding sources for facilities that accommodate the needs of pregnant, postpartum and parenting athletes, (d) create new funding source for athletes to train and/or compete during infants' first year, (e) develop training and educational modules related to pregnant, postpartum and parenting athletes, (f) increase visibility of pregnant, postpartum and parenting athletes and (g) invest in research on high-performance sport participation during and following pregnancy. The collaborative processes employed in this research serve as a model for sports organisations to develop evidence-based policies and practices that can support pregnant, postpartum and parenting athletes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".