Bibliographic record
Abstract
The 1950s and 1960s were times of extraordinary social and political change that redrew the boundaries between traditional and progressive, conservative and liberal.Nowhere is this more apparent than in the history of Catholic nuns.During these two decades, nuns boldly experimented with their role in the church, removing their habits, rejecting the cloister, and fighting for social justice.The media quickly took to their cause and dubbed them 'the new nuns,' modern exemplars of liberated but sexually contained womanhood.With Visual Habits, Rebecca Sullivan brings this unexamined history of nuns to the fore, revisiting the intersection of three distinct movements -the Second Vatican Council, the second wave of feminism, and the sexual revolution -to explore the pivotal role nuns played in revamping cultural expectations of femininity and feminism.From The Nun's Story to The Flying Nun to The Singing Nun, nuns were a major presence in mainstream media and culture.Charting their evolving representation in film and television, popular music, magazines, and girls' literature, Sullivan discusses these images in the context of the period's seemingly unlimited potential for social change.In the process, she delivers a rich cultural analysis of a topic too long ignored.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.849 | 0.632 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".