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
This Special Section broadens and qualifies the terms through which the relationship between home and militarization has been understood. We do this by joining a vibrant and growing field of transdisciplinary scholars who address the militarization of everyday life by attending to domesticity and practices of domestication. We grapple with how the home naturalizes and becomes a catalyst for militarism: How do ordinary and domestic objects, technologies, spaces, and infrastructures make violence feel at home in the world? We are concerned with the domestic life of militarization as oikos: the household, habitat, and milieu of violent material relationships that are both ongoing and latent. The domestic is not just a discrete, private space; it also extends into public spaces like neighborhoods, local businesses, waste disposal infrastructures, hospices, and crop fields. Developed within an editorial process rooted in a feminist ethos, the articles collected here provide critical and alternative methodologies and disciplinary forms for considering militarism's aesthetics, affects, and modes of appearance. This collection resists conventional spatialities, temporalities, and incarnations of war while calling attention to the obscuring of violence through practices of care and marketing operations.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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