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
India's #MeToo movement began in late-2018, and was largely a platform for some privileged women sharing their accounts of sexual harassment. Beyond issues of access to digital technology, our paper investigates why various sections of India's female and LGBTQ+ population chose not to engage with the #MeToo movement. Focusing on experiences with sexual harassment, we conducted 44 qualitative interviews with middle-class working women, feminist and queer activists, academics, and other stakeholders working against gender-based violence, to understand their perspectives on #MeToo. Our paper explores why some survivors bypass the legal infrastructure to speak out against sexual harassment using #MeToo, while others choose not to participate despite having access to social media platforms. Using the lens of infrastructure, we outline the imbrication of social media movements with existing social norms and legal infrastructures. Further, we highlight how infrastructural politics are connected to patriarchy, colonialism, caste, class, and gender struggles.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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