Bibliographic record
Abstract
Recognises 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 Sìleas na Ceapaich, Mary Queen of Scots, Anne Grant, Janet Hamilton, Isabella Bird, F. Marion McNeill and Denise Mina. There are chapters on women in Gaelic culture, women's relationship to oral traditions and to key literary periods, women's engagements with nationalism, with space, with genre fiction and with the activity of reading. Key features Includes innovative scholarship from leading critics of gender and Scottish Studies, including Sarah Dunnigan (Edinburgh), Carol Anderson (Open University), Pam Perkins (Manitoba), Florence Boos (Iowa) Responds to current developments in the field of feminist and literary studies Includes an authoritative introduction and a guide to further reading
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 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".