Inside the royal wardrobe: a dress history of Queen Alexandria
Bibliographic record
Abstract
Queen Alexandra used clothes to fashion images of herself as a wife, a mother and a royal: a woman who both led Britain alongside her husband Edward VII and lived her life through fashion. 'Inside the Royal Wardrobe' overturns the popular portrait of a vapid and neglected queen, examining the surviving garments of Alexandra, Princess of Wales – who later became Queen Consort – to unlock a rich tapestry of royal dress and society in the second half of the 19th century. \n \nMore than 130 extraordinary garments from Alexandra's wardrobe survive, from sumptuous court dress and politicised fancy dress to mourning attire and elegant coronation gowns, and can be found in various collections around the world, from London, Oslo and Denmark to New York, Toronto and Tokyo. Curator and fashion scholar Kate Strasdin places these garments at the heart of this in-depth study, examining their relationships to issues such as body politics, power, celebrity, social identity and performance, and interpreting Alexandra's world from the objects out. \n \nAdopting an object-based methodology, the book features a range of original sources from letters, travel journals and newspaper editorials, to wardrobe accounts, memoirs, tailors' ledgers and business records.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".