A Missing Piece? Men and the Puzzle of Gender Mainstreaming in the European Union
Bibliographic record
Abstract
In its early uptake and sweeping application of gender mainstreaming, the European Union (EU) sits in the vanguard. However, bringing a gender perspective to bear on policy has proven a stubborn challenge. Drawing on Bacchi's "What's the Problem Represented to Be?" approach and her conceptualization of policies as gendering practices, I critically interrogate how men have been implicated in the problem of gender inequality via policy discourse in the EU. I focus on violence against women/gender-based violence and gender inequalities in education. Analysis of these two issues serves to highlight some of the interpretive limits to the problem of gender inequality in the EU and likely beyond. The discursive elusiveness of men works to keep much of the workings of gender power obscured. Such discounting of "the man question" signals a significant misstep that undercuts gender mainstreaming's transformative prospects.
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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 | 0.015 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.069 |
| Scholarly communication | 0.018 | 0.013 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.005 |
| 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".