Unearthing a hidden curriculum of gendered museum languages through critical feminist visual discourse analysis
Bibliographic record
Abstract
This article explores the hidden gendered curriculum concealed in the texts, exhibitions and other structural devices of museums and what they teach visitors to see and think. Grounded in conceptualisations of culture, representation, and language, past feminist studies of museums and applying feminist visual discourse analysis (FVDA) we found hiding in plain sight in public museums in Canada and England a diversity of ‘languages’ that subversively aggrandised masculine power and privilege and (re)inscribed negative or limited understandings to women which we argue as feminist adult educators have epistemic, identity and agency consequences. We also argue that whilst museums are trying to address often centuries old exclusionary gendered practices progress is slow because these practices are so embedded and unconscious and reflect pervasive social notions of ‘common sense’. Our study makes an important contribution to feminist museum studies by rendering visible a web of complex structural and textual gendered biases and to adult education. By adding museums to our curricula we can provide our students with a visual and immersive way to hone the critical visual literacy skills needed to understand more fully how both seen and unseen languages operate not just in the museum, but across society.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".