Akhimie, Patricia and Bernadette Andrea, eds. Travel and Travail: Early Modern Women, English Drama, and the Wider World
Bibliographic record
Abstract
Travel and Travail: Early Modern Women, English Drama, and the Wider World is a compilation of sixteen outstanding essays brought together by editors Patricia Akhimie and Bernadette Andrea.Exploring historical and literary sources, the authors use "travel" as a term of analysis to bring visibility to women during a period of "travel ban promulgation" in early modern Britain.The essays demonstrate that an increasing number of women and girls travelled beyond the borders of the British Isles and others came to Britain despite the "general ban on women's movement outside the domestic sphere" (1).This work reflects on women's travel through the lens of gender intertwined with religion, ethnicity, race, sexuality, and the socio-political climate of not only Britain but also the wider world.The authors persuade us to rethink and reexamine the notions of historical women travellers, their writings, and their experiences in historical sources, and their imaginative representation within the literary texts of Shakespearean Britain (2-3).One of the most valuable assets of this selection is to demonstrate how these women travellers were geographically, racially, socially, and religiously diverse.Their experiences, how they presented themselves in their own writings, and how their stories were imagined in literary genres such as Shakespeare's plays and beyond, show them often crossing these boundaries.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".