He Feminicide in Mexico: Challenges Current and Action Proposals
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Femicidal violence is one of the social problems that has marked the agenda public of women, of groups and of the institutions from does some decades, due to increase in femicides that has been experienced in years recent, this increase being concomitant with the quarter wave feminist. The present article HE interested by delve in the bases conceptual and analytical work on femicides in Mexico, therefore, aims to contribute to factual clarifications and debates theorists that have revolved around the definition of the feminicide, so as well as the typologies that have been established for better understanding. Furthermore, this problematic is placed in a frame historical of the society Mexican, about everything from the decade of the years ninety to the topicality, given that it allows visualize that This is a systemic gender violence problem.
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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 | 0.017 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it