Bibliographic record
Abstract
Graphic memoir and feminist mothering theory are at the heart of my research-creation paper “Badass Mom Art: Motherhood Untold in My Kind of Crazy”, which brings feminist mothering theory into conversation with traumatic mothering stories. The research-creation comprises a series of sequential graphic stories from my 2023 memoir My Kind of Crazy and a drawing series, Mothering Myths: (Re)imaginings and (Re)visions. These narratives re-imagine trauma’s impact on my maternal generations and illustrate the feminist shift from the 20th century patriarchal institution of motherhood that creates mothers as powerless and oppressed to 21st century matricentric mothering that empowers mothers through agency, autonomy, authenticity, and authority. Through comic’s conventions of frames, gutters, and the ability to manipulate time, the stories—my grandmother’s, my mother’s, and mine—detail specific traumatic experiences that impact our abilities to mother; they also reveal my perspective on events according to my perceptions and beliefs as an adult creating our stories. These are real stories of mothers unfolding in images and words. The article foregrounds Western patriarchal mothering myths of the ideal mother and the generations of feminist activists and scholars, including Adrienne Rich and Andrea O’Reilly, who have worked to change how society perceives mothers. Feminist poet Adrienne Rich’s seminal text Of Woman Born (1986) differentiates between the idea of motherhood and the concept of mothering; she encourages mothers to be mother outlaws by mothering outside patriarchy’s institution of motherhood’s rules and prescriptions. O’Reilly first questioned why maternity was not understood as a subject position nor theorized as other subject positions regarding the meeting of gendered oppression and resistance in her 2016 text Feminism: Theory, Activism, and Practice. Rich’s and O’Reilly’s proposed mother-centered practice permeates and is key to my art and critical work.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.019 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".