Bibliographic record
Abstract
On the Aṉangu Pitjantjatjara Yankunytjatjara (APY) Lands in northwest South Australia, an environmental health worker salvages discarded washing machines to reinstall in remote community homes. Tracking the fate of washing machines and householder well-being, this essay traces the militarized genealogies running contemporary settler colonial occupation in Australia. We are particularly interested in how the colonizing project decants militarized operations into the intimacies of domestic inhabitation. Where once this project facilitated a gendered labor reserve, today it enables the continued pathologization of Indigenous residents, such that renewed interferences and dispossessions may be authorized at policy convenience. This essay is a part of the Roundtable called “The Housewife’s Secret Arsenal” (henceforth HSA); a collection of eight object-oriented engagements focusing on particular material instantiations of domesticated war. The title of this roundtable is deliberately tongue-in-cheek reminding readers of the many ways that militarisms can be invisible to their users yet persistent in the form of mundane household items that aid in the labor of homemaking. Juxtaposing the deliberately stereotyped “housewife” with the theater of war raises questions about the quiet migration of these objects and technologies from battlefield to kitchen, or bathroom, or garden. Gathered together as an “arsenal,” their uncanny proximity to one another becomes a key critical tool in asking how war comes to find itself at home in our lives.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.004 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".