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
Mooncalf is a biological art project that employs the seemingly progenitive properties of menstrual fluid, hearkening back to matrilineal cultural beliefs that human embryos were created from or nurtured by menstrual blood. The generative properties of menstrual fluid are not in its haemoglobin content; rather, in still-viable cells and tissues shed with blood, vaginal secretions, and unique proteins. The concept of blood-generated progeny, historian Melissa L. Meyer explained, underlies many menstrual taboos, some of which continue to impact biocultural notions of menstruation. These taboos may shape biotechnological development, which Mooncalf addresses through TechnoFeminism. Use of my body materials in biotech processes is imperative to a TechnoFeminist ethos of creating new, embodied knowledge and wielding technology towards autonomy in hegemonic technoscientific spaces. Meyer suggested that menstrual taboos may have emerged not only to symbolically protect non-menstruators, but also to practically manage or control human reproduction. This economic function is a topic I expand upon within the context of reproductive labour and applications thereof in a technocratic world. With Mooncalf, I manipulate menstrual taboo to my advantage, towards self-determination through experimentation in a tissue culture lab, and further towards developing critique of technoscientific industry and its gendered sociocultural and economic impacts.
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 | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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