The Failure of Gender Equality Initiatives in Academia: Exploring Defensive Institutional Work in Flemish Universities
Bibliographic record
Abstract
Although a large number of studies have explored the main causes of gender inequality in academia, less attention has been given to the processes underlying the failure of gender equality initiatives to enhance gender representation, especially at the professorial level. We offer a critical discourse analysis of recently promulgated gender policy documents of the five Flemish universities, and demonstrate that defensive institutional work is a fundamental process underlying resistance to gender equality in the academic profession. That is, powerful organizational actors resist gender change by (un)intentionally deploying a combination of discursive strategies that legitimate what we describe as non–time-bound gender equality initiatives: The expected outcomes are undetermined in time, and they delegitimate concrete, time-bound measures that define specific outcomes against well-defined deadlines. By explicitly bringing a temporal dimension into our analysis, we argue that defensive institutional work deflects questions regarding what ought to be achieved when, and contributes to the slow pace of gender change in academia.
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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 | 0.029 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.020 | 0.036 |
| Scholarly communication | 0.015 | 0.010 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.004 | 0.004 |
| 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".