Bibliographic record
Abstract
The question of whether or not one should procreate is rarely cast as a personal choice in philosophical discourse; rather, it is presented as an ethical choice made against a backdrop of aggregate concerns. But justifications concerning procreation in popular culture regularly engage with the role that identity plays in making procreative decisions; specifically, how one’s decision will affect who they are and who they might be in the future. Women in particular cite the personally transformative aspects of becoming a parent — personal circumstances, including socioeconomic status, age, health, and relationship status — as the most important considerations for the decision they make regarding possible parenthood, and not the more aggregate concerns that an ethics of procreation prioritizes. I highlight women because when women undergo a transformative experience related to parenthood, they do so in contexts where the social, economic, and emotional effects related to pregnancy and motherhood are extensive and impose greater effects on women than men. These harmful material effects threaten a woman’s economic stability, career development, social relationships, and emotional health. Because of this, I argue that an ethics of procreation must engage with the ways in which women’s identities are transformed through procreative decisions.
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 | 0.035 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.077 |
| Scholarly communication | 0.012 | 0.014 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.006 | 0.008 |
| 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".