The exercise of daily life: towards an understanding of physical activity in the daily lives of low-income single mothers
Bibliographic record
Abstract
Low-income women are more likely to experience poor health and less likely to be physically active. However, most of the research has only considered physical activity from the culturally dominant norm of fitness, recreation and leisure. Activity performed in the context of daily life outside the program setting has not been investigated, especially not for low-income single mothers who are marginalized within the dominant culture. The purpose of this study is to explore the meaning and practice of physical activity in the daily lives of low-income single mothers. Three women between the ages of 28 and 32 participated in this study, recruited from a housing project for low-income single mothers. A variety of established qualitative research methods were used to identify the practice of physical activity in daily life and investigate personal meanings. These methods included: a discussion group, individual in-depth interviews, and on-going field notes. Additional methods designed and assessed included: community assessment, community mapping exercise, physical activity logs, and participant observation. Analysis consisted of mapping data themes and interpreting these themes using a organizing framework based on the literature. Four primary analytic concepts for understanding the meaning and practice of physical activity in daily life emerged: work and leisure, well-being and health, quality of life, and power and control: This analysis, based on the organizing framework and use of new data collection techniques, makes an important contribution by challenging some of the dominant myths in the literature related to physical activity and low-income women. The assumption that low-income single mothers are the least active population needs to be revisited. Future research must also consider that physical activity may not be as stable as defined by the social-class literature. The practice of physical activity may both enhance and constrain positive health, as well as be experienced as both conforming to and resisting social norms. Finally, the negotiation of power at the level of the body demonstrates the potential for physical activity to contribute to self-esteem and personal empowerment.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".