Interdisciplinary study of 16th-century Spanish court woman fashion, gemstones, and Virgen del Rosario dress
Bibliographic record
Abstract
Woman clothing and gemstones of the Spanish court of 16th and 17th-century symbolized the power through the fashion. The Virgen del Rosario’s dress, compared with portraits of queens and infantas of this period, provides a crucial visual record of period attire and adornment and serves as a basis for investigating the originality and later interventions. This study applies an integrated historical, artistic and material approach, combining non-invasive techniques such as Raman, FTIR, XRF and SEM-EDS analysis. Comparative analysis links the observation of clothing and jewelry in portraits with the morphological and chemical examination of the gemstones set in the 17th-century metallic Virgin’s dress. Results indicate at least three historical phases of interventions on the dress: gemstones contemporary with the original manufacture featuring mounted on their crowns and modified dutch cuts; doublet or triplet stones with brilliant cuts; and more recent, emerald-cut glass, providing insights into the dress’s restorations and modifications.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".