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
Shows how communities across the Americas transform their grief over murdered and missing trans and non-trans women, girls, and two-spirit people into powerful social movements that challenge state violence and demand justice. A groundbreaking and transnational examination of gender-based violence, Mourning and Mobilization in the Americas reimagines how we understand the relationship between grief and political action. Lydia Huerta Moreno brings together the work of activists, scholars, artists, writers, and influencers from 1994 to 2023 to chronicle the intersection of activism with the rise of social media and the eventual implementation of legislation codifying woman killing as a crime. Expanding the concept of feminicide to encompass trans women, two-spirit people, and missing and murdered women and girls across the Americas, Huerta Moreno illuminates the deep connections between different forms of gender-based violence across the Americas and weaves together questions of race, class, gender, and immigration status. Through innovative and sensitive analysis of postmortem politics, the book reveals how communities transform profound loss into powerful social movements, from Mexico to Brazil to the United States and Canada and beyond. With a foreword by Sayak Valencia, Mourning and Mobilization in the Americas is a must-read for activists, scholars, and anyone concerned with human rights, revealing how grief can spark resistance against systemic violence and government inaction.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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