Mirelsie Velázquez, Puerto Rican Chicago: Schooling the City, 1940-1977
Bibliographic record
Abstract
numerous, especially in faculties of arts, and the dance craze and other student antics were lowering the seriousness of the educational enterprise.At the same time, there was an increased desire for vocational training, either in the home or in the workplace.This desire led to a significant expansion in home economics/household science education in the interwar years.Women also found a place in the expanding field of social work, pharmacy, and other health professions.The growing specialization of the university and the new emphasis on science meant that male and female students were frequently studying different subjects.In her conclusion, MacDonald returns to the issue of inequality at Canadian universities, arguing that we still see the underrepresentation of women in certain fields of study, a legacy, she argues, of the early decades of the twentieth century.MacDonald also revisits the issue of racism, which she addresses earlier in the book as well.There, she argues that women seeking to gain entrance to university used eugenic arguments and made a plea for the importance of educated women to the colonial enterprise.Unfortunately, as MacDonald points, out, Indigenous students and faculty still face a hostile environment.The book is not as engaging as I would have hoped -partly this is the level of detail.A shorter book that focused on fewer universities might have made it more suited to course adoption.But University Women is a very thoughtful and thorough account for scholars of feminism and education.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".