Mapping Gender History in Medieval and Renaissance Studies from Bibliographic Data
Bibliographic record
Abstract
Gender history, an interdisciplinary field that has expanded since the 1970s, has significantly impacted Medieval and Renaissance studies. This research analysises bibliographic data to explore trends in gender history within these fields. Using the Web of Science, this study identifies 104,130 publications from 1975 to 2023 in the Arts & Humanities Citation Index and Social Sciences Citation Index. By examining journal articles and book reviews with keywords such as women, gender, and masculinity, the study investigates how gender intersects with topics like politics, religion, and law. Findings reveal that gender historians in medieval and Renaissance studies predominantly focus on the sexuality, reflecting the intrinsic connections between sexuality, sex, body, and gender. This research also highlights a notable disparity in the representation of women’s history, gender history, and men’s history. Overall, this research maps the fifty years of gender-related scholarship and demonstrates how gender historians respond to shifting political trends.
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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 | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.060 | 0.098 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".