Mothers, Medicine, and Monstrosities: Historicizing Childbirth and Contraception in Nora Jaffary’s Reproduction and Its Discontents — A View from Río Frío
Bibliographic record
Abstract
Written as the author’s contribution to a roundtable held at the Canadian Historical Association’s annual conference in Regina on Nora Jaffary’s, Reproduction and Its Discontents in Mexico: Childbirth and Contraception from 1750 to 1905, recipient of the 2017 Ferguson prize, the article utilizes a popular nineteenth century Mexican novel, Los bandidos de Río Frío, as a lens through which to reflect upon childbirth, the construction of various systems of medical knowledge, contraception, virginity, monstrosities, the written word, and national imagining in Jaffary’s book. Both authors see a close connection between childbirth and the project of nation building in Mexico: Payno, to foreground the importance of inheritance, and Jaffary, to stress the ways in which laws, learning, institutions, and traditions shaped reproduction and its outcomes. Notable in Jaffary’s work is the eschewing of traditional periodizations of Mexican history in favour of the testing of hypotheses and a focus on the agency of women. Also compelling is Jaffary’s interest in the emergence of the discursive category of the “general public,” a construct that links her work to that of others interested in the “lettered city.”
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.027 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".