Fat Reproductive Justice: Navigating the Boundaries of Reproductive Health Care
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
Abstract In this paper, we explored the experiences of people in larger bodies seeking fertility and/or pregnancy care through a reproductive justice lens, integrating an understanding of weight stigma with an understanding of who has access to reproductive technologies, who is “allowed” to become pregnant, and the discourses that surround pregnancy. We conducted a thematic analysis of the narratives of 17 participants who had been labeled “overweight” or “obese” while pregnant and/or seeking reproductive health care related to fertility and/or pregnancy. Participants’ narratives speak to experiences of being surveilled and controlled in medical settings; this surveillance and control negatively impacted their access to desired care. In order to receive the kinds of care they wanted, many participants had to become self‐advocates. This self‐advocacy speaks to resistance and “resilience”; we discuss how individualizing “resilience” represents an incomplete solution to navigating the shaming and blaming encounters participants experienced with healthcare providers. We argue for health care that is more caring and responsive to the needs of diverse individuals who are or who are seeking to become pregnant.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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