<i>Expuestas:</i>Laborious Expectations and the Plight of Feminist Art in Contemporary Mexico
Bibliographic record
Abstract
In 2015, the Modern Art Museum (MAM) in Mexico City put on a much-anticipated exhibit of the works of Lorena Wolffer, a feminist artist and political activist known for tackling issues of gender-based violence in her work. However, the exhibit soon became a flash point for a debate about sexual violence in art institutions and the personal responsibilities of artist activists when a MAM worker was harassed and fired. Many members of the Mexican artistic community loudly condemned Wolffer for denouncing sexual violence in her work while not doing enough to help the victim and even going ahead with her show. This article analyzes Wolffer’s oeuvre—situating it within both Mexico’s contemporary political climate and existing debates on feminist activist art—and the scandal at the museum. It argues that the personal and professional expectations and critiques placed on many feminist artists arise not simply from the subject matter of their work but also from the form that their artistic practice takes and the types of labor it entails, which often include decentering the authorial element of creation, giving voice and presence to ordinary citizens, helping victims of gender- and sexual-based violence heal, and educating the broader public about these issues. This often entails privileging the artistic process over the production of objects that are sold in the art market. To bear out this argument, this article contrasts Wolffer’s work with that of Santiago Sierra, an artist who engages in politically critical art but eschews normative political commitments and activism. The article concludes that while the artistic field in Mexico is ostensibly becoming more open to feminist art and nontraditional artistic practices, its organizational, curatorial, and critical facets remain staunchly antithetical to a feminist project.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.016 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".