Work–life Balance in Medical Practice: The Reproduction of Patriarchy and the Politics of Gender
Bibliographic record
Abstract
Abstract Purpose To shed light on how gender norms are reproduced in medical training and practice through an exploration of representations of the problem of “work–life balance.” Women physicians and women physician-researchers (WPs/WPRs) in Canada and in the United States experience social and health inequities when compared to their men colleagues. Despite current medical school acceptance parity, upon entering the medical workforce, women work harder than men to succeed within the historically male-dominated structures and value system of the medical profession. Methodology We performed a critical discourse analysis of articles retrieved from academic databases and leading Anglo-American journals that discussed “work–life balance,” to investigate how the discourse contributed to, or challenged, the reproduction of gender norms in medicine. Findings While the medical literature acknowledges that the social and health inequities experienced by WP/WPR result from discriminatory norms and practices, it neglects to challenge built-in gendered inequities in benchmarks for success in the profession. Instead, proposed solutions require that WP/WPR themselves learn to cope and make better lifestyle choices, including downloading domestic responsibilities on socially disadvantaged – racialized and poor – women. Authors’ gender appears to make no difference. Research Limitations Our search was limited to the Anglo-American literature, often retrieved articles inaccessible via our university library, excluded informal venues (e.g., blogs), and did not include cases of same-sex couples or interviews of WP/WPR. All these may have challenged components of our argument by revealing more nuanced debates, occurring under different political, cultural, and economic contexts. Policy Implications While individual choices of WP/WPR are important to the protagonists, to successfully address the very real problem of work–life balance experienced by WP/WPR, patriarchal norms should be challenged, failure to comply with these norms should be rejected as explanations for work–life balance challenges, and norms themselves should become the focus of analysis and intervention. Originality/Value The medical language used by physicians of both genders normalizes gendered inequities, favoring the success of medical men over women, and reproducing the professional and personal disadvantages experienced by the latter, further burdening socially disadvantaged women.
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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 | 0.036 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.015 | 0.091 |
| Scholarly communication | 0.018 | 0.012 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.005 |
| 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".