Explaining the Persistence of Gender Inequality: The Work–family Narrative as a Social Defense against the 24/7 Work Culture
Bibliographic record
Abstract
It is widely accepted that the conflict between women’s family obligations and professional jobs’ long hours lies at the heart of their stalled advancement. Yet research suggests that this “work–family narrative” is incomplete: men also experience it and nevertheless advance; moreover, organizations’ effort to mitigate it through flexible work policies has not improved women’s advancement prospects and often hurts them. Hence this presumed remedy has the perverse effect of perpetuating the problem. Drawing on a case study of a professional service firm, we develop a multilevel theory to explain why organizations are caught in this conundrum. We present data suggesting that the work–family explanation has become a “hegemonic narrative”—a pervasive, status-quo-preserving story that prevails despite countervailing evidence. We then advance systems-psychodynamic theory to show how organizations use this narrative and attendant policies and practices as an unconscious “social defense” to help employees fend off anxieties raised by a 24/7 work culture and to protect organizationally powerful groups—in our case, men and the firm’s leaders—and in so doing, sustain workplace inequality. Due to the social defense, two orthodoxies remain unchallenged—the necessity of long work hours and the inescapability of women’s stalled advancement. The result is that women’s thin representation at senior levels remains in place. We conclude by highlighting contributions to work–family, workplace inequality, and systems-psychodynamic theory.
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 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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.012 | 0.038 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".