Bibliographic record
Abstract
Fears, for many, have been actualized during the global pandemic. Working through borders and geographical crossings, this article performs a constellation of my anxieties about race, culture, and academia. I explore what kinds of feminisms might leak through if we let ourselves fall into fear. Through autotheory, a way of theorizing from my life experience, I revisit domains of seemingly bygone issues of feminism through encounters of distress and unease, marked through the performance of public/private breastfeeding and pumping. I put tension on feminist configurations of materiality as they rub against my memories. Alongside this, I analyze the tactics offered by the video and performance works of Patty Chang. The article mobilizes Patty Chang work Milk Debt, which presents through performers pumping breastmilk while reciting solicited fears from people living across myriad geographies during COVID-19. I suggest my fears alongside Chang’s performances of fear agitate the ways in which colonialism, elitism, and racial power persist in feminist circles—these fears assemble what I call a porous feminism that enables unruly minoritized feminisms to leak through.
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 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 | 0.001 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".