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
Abstract There is limited understanding of cruelty in critical security studies. While cruelty tends to be conceptualized within the context of large-scale, violent conflicts and situations, it is helpful to consider cruelty through the lens of everyday forms of violence and subjugation. Understanding cruelty and its complex entanglements with overlapping frameworks of necropolitics, structural violence, and necrogeopolitics, and drawing on research from Nigeria, Jordan, and Myanmar, this article discusses the normalization of cruel, everyday “living death” and violence experienced by many in Global South. Overlapping marginalities of localized conflicts, political repression, gendered violence, marginalized livelihoods and precarity, climate change, and migration illustrate this entangled conceptualization of cruelty. This complex and entangled understanding of cruelty helps to better understand the lived experiences and situations of peoples and communities in the Global South. Further, everyday necropolitical violence and cruelty provide an understanding of the suffering, pain, and state of unease that many experience in the Global South and beyond, and this understanding of shared human vulnerabilities informs our common humanity. The main contribution of this analysis is to provide dialectical insights into the potential of radical empathy and compassion, rooted in decolonial humanism, as a means to ignite political consciousness, dismantle oppressive structures, and support emancipatory agency of peoples and communities globally.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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