Practicing Accountability, Challenging Gendered State Resistance: Feminist Legislators and <i>Feminicidio</i> in Mexico
Bibliographic record
Abstract
In the late 1990s, Mexican feminists mobilized transnationally to demand state accountability for the feminicidios (feminicides) of women in Ciudad Juarez. Feminicidio refers to the misogynous killing of women and the state’s complicity in this violence by tolerating it with impunity. Drawing on debates of the Mexican Federal Congress (1997–2012) and interviews with feminist state and non-state actors, I examine feminist legislators’ response to transnational activism, which was to pass the “General Law on Women’s Access to a Life Free of Violence” and to create the penal-type code of feminicidio, which includes provisions to punish negligent state actors. These laws make the state a target of its own punitive power. To pass these acts, feminist legislators faced resistance from male legislators and the Federal Executive. I build on feminist institutionalism to theorize this resistance as gendered. Gendered state resistance was pervasive because feminist legislators practiced accountability by identifying the complicity of state institutions, including Congress, in perpetuating feminicidio. As part of the process, they built alliances with other female legislators and framed their arguments with notions of modern statehood. Although this framing strategy resulted in innovative legal change, I interrogate the assumption that modernity is the solution to feminicidio, because it can lead gendered state resistance to manifest as a simulation of accountability.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.010 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.020 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.007 |
| 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".