Post-brelfie: the limits of intersubjectivity & intersectionality in spring 2020 virtual lactation selfie culture
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
In 2015, brelfies, digital self-portraits taken by breastfeeding mothers, began to emerge on social media platforms. In the spring of 2020, two virtual lactation events emerged as new sites of brelfie culture: laczoom and the #dropemoutchallenge. I define these two events as evidence of a new wave in brelfie culture, what I call “post-brelfie” cultures. “post-brelfie” cultures are determined by two primary differentiating tenets from brelfie culture: 1) Post-brelfie events occur on video-based new media platforms, as opposed to through digital photography-based ones, which inhibit this trend’s potential for both self and community empowerment. 2) Post-brelfies are a product of their socio-temporal moment: the novel coronavirus pandemic and its publicly mandated stay-at-home orders. Through a hybrid methodology combining cross-platform analysis, grounded theory, and contextual visual discourse analysis, the findings of this study assert that not only has brelfie culture thus far failed to realize its feminist and public health goals, but also that such aims have been further devalued under pandemic circumstances in which digital inequities have further siloed online communities, leading to the transmission of negative affects in these networks. Such affects are further exasperated by postfeminism and neoliberalism and serve to undermine the aims of intersectional feminism.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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