Bibliographic record
Abstract
Motherhood and childbearing are experiences that often receive great cultural prestige and celebration, a consequence related to their close associations with gender roles and life milestones, as well as their social function in generational continuation and population growth. However, external forces such as the community and the state have often overlooked power over the construction of socially acceptable forms of reproduction. One form that offers unique insight into social constructions of acceptable motherhood and pregnancy is sexual violence related pregnancies (SVRP), which represent an intersection between stigmatization, social support, and criminality in conversations of reproductive health and choice-making. Using abortion laws as a cross-cultural lens through which to understand the policing of SVRP comparatively between America, Australia, Nicaragua, and the Democratic Republic of Congo, this review seeks to examine the relationship between state and community understandings of appropriate motherhood, sexual violence, and gendered perceptions of “good” or socially supported motherhood. Furthermore, the contentious nature of abortion debates and legislation can be utilized as a lens through which to understand which forms of motherhood and childbearing can be considered state and community sanctioned versus unsupported. Key Words: Sexual Violence, Pregnancy, SVRP, Motherhood, Childbearing, Abortion
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.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".