Feminist Approaches to Early Medieval English Studies
Bibliographic record
Abstract
Scholarship on early medieval England has seen an exponential increase in scholarly work by and about women over the past twenty years, but the field has remained peculiarly resistant to the transformative potential of feminist critique. Since 2016, Medieval Studies has been rocked by conversations about the state of the field, shifting from #MeToo to #WhiteFeminism to the purposeful rethinking of the label 'Anglo-Saxonist.' This volume takes a step toward decentering the traditional scholarly conversation with thirteen new essays by American, Canadian, European, and UK professors, along with independent scholars and early career researchers from a range of disciplinary perspectives. Topics range from virginity, women's literacy, and medical discourse to affect, medievalism, and masculinity. The theoretical and political commitments of this volume comprise one strand of a multivalent effort to rethink the parameters of the discipline and to create a scholarly community that is innovative, inclusive, and diverse.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".