Edinburgh companion to Scottish women's writing
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This book explores the richness of women's contribution to Scottish literature. By combining historical spread with a thematic structure, this volume explores the ways in which gender has shaped literary output and addresses the changing situations in which women lived and wrote. It places the work of established writers such as Margaret Oliphant, Naomi Mitchison and A.L. Kennedy in new contexts and discusses the writing of critically neglected figures such as Sileas na Ceapaich, Mary Queen of Scots, Anne Grant, Janet Hamilton, Isabella Bird, F. Marion McNeill and Denise Mina. It includes innovative scholarship from leading critics of gender and Scottish Studies, such as Sarah Dunnigan (Edinburgh), Carol Anderson (Open University), Pam Perkins (Manitoba) and Florence Boos (Iowa). It responds to current developments in the field of feminist and literary studies. It includes a guide to further reading for each chapter.
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.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.022 | 0.002 |
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 it