Queering reproductive loss: Exploring grief and memorialization
Bibliographic record
Abstract
LGBTQ communities have a long history of memorializing loss—The NAMES Project or AIDS memorial quilt, the Transgender Day of Remembrance, art and fiction memorializing the Stonewall riots. Yet the subject of reproductive loss—including miscarriage, infant death and failed adoptions—has often been a silent burden for LGBTQ parents. Few LGBTQ-oriented guides to conception or adoption even mention loss, and most self-help material on reproductive loss is geared toward heterosexual, married (often white, middle class, and Christian) couples. This chapter centers on the personal narratives collected by two researchers—an American anthropologist and a British psychologist —who met online after their own experiences with pregnancy loss as queer women. We present the stories of queer people—primarily lesbian and bisexual women, but also several gay men and transpeople—as they have experienced reproductive loss. These stories are drawn from Peel’s online survey of 60 non-heterosexual women from the UK, USA, Canada and Australia and Craven’s 50 interviews with LGBTQ people who had experienced loss in the USA and Canada. We argue that for LGBTQ people, challenges in achieving conception and adoption amplify experiences of loss and that the severely under-researched experiences of non-biological parents offer important insights into the range of experience with reproductive loss. This chapter highlights the diverse memorialization strategies for reproductive loss that are practiced within LGBTQ communities suggesting that these often actively challenge heteronormative assumptions about loss and grief, as well as expectations of belonging, community and family formation. Through personal stories and photos, this chapter examines physical memorials, religious/spiritual services, and the increasingly popular use of commemorative tattoos and art by grieving LGBTQ parents as strategies for “marking” their experience personally, as well as within their communities.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.024 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".