Beyond Work-Life “Integration”
Bibliographic record
Abstract
Research on the work-family interface began in the 1960s and has grown exponentially ever since. This vast amount of research, however, has had relatively little impact on workplace practice, and work-family conflict is at an all-time high. We review the work-family research to date and propose that a shift of attention is required, away from the individual experience of work and family and toward understanding how identity and status are defined at work. Several factors enshrine cherished identities around current workplace norms. The work devotion schema demands that those who are truly committed to their work will make it the central or sole focus of their lives, without family demands to distract them. Importantly, the work devotion schema underwrites valued class and gender identities: Work devotion is a key way of enacting elite class status and functions as the measure of a man--the longer the work hours and higher the demand for his attention, the better. Advocating change in the way work is done and life is lived meets resistance because it places these cherished identities at risk. Resistance to these identity threats keeps current workplace norms in place. This is why even the business case-which shows that current practices are not economically efficient-fails to persuade organizations to enact change. What is needed now is sustained attention to the implicit psychological infrastructure that cements the mismatch between today's workplace and today's workforce.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".