Art, Nation and Gender: Ethnic Landscapes, Myths and Mother-Figures
Bibliographic record
Abstract
Art, nation and gender - Introduction, Tricia Cusack. Women as allegories of the nation - from Britannia to Mother Russia: Domesticating Britannia - Representations of the nation in Punch 1870-1880, Anne Helmreich Anima Celtica - Embodying the soul of the nation in 1890s Edinburgh, Murdo Macdonald (Dis-)embodying the nation - Female figures, desire and nation-building in early 20th-century Finland, Johanna Valenius Putting Mother Russia in a European context, Linda Edmondson. Regendering national culture: Visual Marianism and national identity in Ireland 1920-1960, John Turpin From the zero hour - Transparency, gender and architecture in post-war Germany, Deborah Ascher Barnstone. Women's art - expanding national identity: True patriot love - Joyce Wieland's Canada, Christine Conley Becoming women - Irigaray, Ireland and visual representation, Hilary Robinson.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 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 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".