A Womb With a (Political) View: Reclaiming Reproductive Rights in Spanish Feminist Cartoons
Bibliographic record
Abstract
Drawing attention to the ways in which art activism can be mobilized “with the objective of achieving social and or political change” (Serafini, 2018, p. 3), in this article, I attend especially to the image of the womb as a powerful visual metaphor for political intervention. Analyzing the transformative potential of an embodied medium such as political cartoons, the present article focuses on Wombastic, a Tumblr-based initiative organized by the Spanish collective Autoras de Cómic in response to the restrictive abortion bill that the Spanish right-wing Partido Popular approved in the Council of Ministers on December 20, 2013. While right-wing legislators have turned women’s bodies into battlefields in their attempt to reinstate heteropatriarchal gender norms, feminist graphic interventions reclaim the body as a site of resistance to disrupt neoconservative propaganda. Studying the sociopolitical context in which it was launched, this article underlines the connection between the “repoliticization of Spanish social life” (Herrero, 2019, p. 127), and the resurgence of powerful feminist activism, centering on reproductive rights. Steeped in the post 11M social climate, this study reveals the discursive power of political cartoons at a time of renewed politicization of the body, increased social mobilizations, and powerful feminist activism. Socially engaged comics and cartoons such as the ones uploaded to Wombastic display feminist agency, reclaiming women’s creativity and ownership of their own sexuality and reproductive choices.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.016 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".