Women’s Experiences Regarding Physical Activity during the Postpartum Period: A Feminist Poststructuralist Study
Bibliographic record
Abstract
Although recovery after birth can be promoted through bodily movement, many women do not engage in regular postpartum physical activity. While research studies have identified some of the reasons behind their decisions, including a lack of time, only a limited number of studies have been carried out to explore how postpartum physical activity is socially and institutionally constructed. Thus, the present study aimed to investigate the experiences of women regarding postpartum physical activity in Nova Scotia. Six postpartum mothers participated in semi-structured, virtual, in-depth interviews. Women's experiences of postpartum physical activity were examined through a discourse analysis guided by feminist poststructuralism. The following themes were identified: (a) socialization in different ways; (b) social support; (c) mental and emotional health; and (d) being a good role model for their children. The findings indicated that all women perceived postpartum exercise as a positive behavior that can promote mental health, although some postpartum mothers experienced social isolation and a lack of support. Furthermore, social discourses about motherhood caused the personal needs of mothers to be disregarded. The results showed that collaboration among health care providers, mothers, investigators, and community groups is necessary to promote and support mothers' engagement in postpartum physical activity.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".