Invisible Globalization: French Hats in Habsburg Vienna, 1650-1750
Bibliographic record
Abstract
In the second half of the seventeenth century, the Viennese nobility introduced French fashion as a consumption pattern for Austrian elites. Beaver and vicuna hats, made of raw materials from Canada, Peru, West Africa, the Sudan and the Levant, were part and parcel of the new French fashion. French hats were globalized commodities appreciated throughout Europe, although the globalized nature and composition of the product remained completely invisible. This article considers Vienna as a remote area, far from the booming and, in historiography, well-explored European Atlantic ports and capitals, and investigates how Vienna participated in particular global fashion trends. Specifically, it focuses on the social and economic impact of hats as a globalized consumer good on the local Viennese market. Based on an extensive analysis of archival sources, the article sheds light on consumption patterns of elites, practices of the trade in hats, and the consequences of the globalized hat market for local craft production. The globalization of the hat market entailed the immigration of fully trained hatters. Skilled craftsmen from France and Italy introduced new processing methods in Vienna, but this did not result in the dissemination of knowledge
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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 | 0.001 |
| 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 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".