Crowned sisters: object analysis of court dress during Queen Alexandra and Empress Marie Feodorovna's influential reigns
Bibliographic record
Abstract
This Major Research Paper examines female court dress regulations during Queen Alexandra of England and her younger sister, Empress Marie Feodorovna of Russia’s tenures as societal heads during the late nineteenth and early twentieth century. Through object analysis of a court gown of Queen Alexandra’s from the Royal Ontario Museum, and a Russian Maid of Honour’s court gown from The Metropolitan Museum of Art, this research compares how each nation utilized court dress to express wealth, and if the court dress of each nation could communicate the wearer’s court rank within a foreign court. While both nation’s court dress communicated wealth, the motives were different: England’s court dress was highly influenced by fashion trends, whereas Imperial Russian court dress was unchanging in its appearance as its primary purpose was to display a national character. Combining the analysis of each court gown with secondary research and the theory of Thorstein Veblen regarding luxury dress, this paper concludes that each nation’s court dress was highly communicative of a wearer’s rank and wealth.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".