Bibliographic record
Abstract
I n January 2014, the University of Winchester hosted the Gender and Me- dieval Studies conference.Held sporadically since the late 1980s and, for the most part, annually in the last fi fteen years, the conference series is dedicated to the study of gender in the Middle Ages.In 2014 at Winchester, the topic for discussion was "gender and status."This topic was specifi cally chosen for the potential fruitfulness of the idea: gender and status could encompass ideas such as social status, employment, fi gures of authority, marital status, legal issues, and could potentially suit any academic discipline or geographic context.The 2014 conference welcomed more than ninety scholars from throughout Europe and North America speaking on topics ranging from medieval gynecology 1 to clerical masculinity.2 As the conference organizers noted, the large number of scholars attending and speaking on gender and status in the medieval world might indicate larger trends in medieval scholarship: that studying gender in the medieval world was no longer a niche subject, but part of the wider landscape of not just medieval studies but scholarship in general.3 The study of gender has indeed come a long way since its earliest inceptions in the academy and Joan Scott's appeal for scholars to consider gender as "a useful category of historical analysis."4 Growing initially from second-wave feminism's critique of the academy and the call to recognize women's place not only in academia but in history overall, gender studies in turn grew from third-wave feminism's recognition of the value of difference with "an inclusive and non-judgmental approach that refuses to police the boundaries of the feminist political."5 Indeed, it is only in a few farfl ung corners where gender studies in history are still considered as an "addwomen-and-stir" approach.Instead there is a much greater understanding that gender as a social construct-and a normative construct at that 6 -can affect all corners of life.As another structure around which we build society,
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.019 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".