Work-family justice – meanings and possibilities: introduction to the work and family researchers network special issue
Bibliographic record
Abstract
Work-Family Justice is a key organizing concept centering intellectual and policy work that call attention to tensions and challenges in work and family integration, and that highlight key solutions. This special issue extends knowledge about structural, cultural, historical, and political (including geopolitical) oppressions that inform the range of diverse work-family conflict complexities and presents building blocks to sustain healthier work and family lives. Work-family justice allows for safe, decent, and meaningful work, supported care for dependents, and strong family relations though the life course. It addresses inequalities between and across groups and cultures. We build upon earlier rigorous scholarship ascertaining the best supports for a healthy and fulfilled workforce and populace, which can advance equality and profit national wellbeing. The special issue highlights exceptional individual research studies, that -- as a whole -- elevates work-family scholarship and the solutions that can enhance work-family justice.
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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.011 | 0.015 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.010 | 0.013 |
| Insufficient payload (model declined to judge) | 0.017 | 0.005 |
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".