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Spanish<i>merino</i>wools and the<i>nouvelles draperies</i>: an industrial transformation in the late medieval Low Countries<sup>1</sup>

2005· article· en· W2148235481 on OpenAlexaff
John H. Munro

Bibliographic record

VenueThe Economic History Review · 2005
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFlemishFifteenthArtHistoryGeographyAncient historyArchaeology

Abstract

fetched live from OpenAlex

From the seventeenth century, the world's finest wools have been those produced by descendants of the Spanish merino. During the middle ages, however, England produced Europe's finest wools. Not until the fourteenth century does a distinct merino breed appear in Spain; and, before then, 'Spanish' wools were amongst the very worst in Europe, used in the production of only the very cheapest fabrics. By the late fourteenth century, some merino wools were being used in some Italian draperies; but, in the north, long‐held historic prejudices against 'Spanish' wools hindered their introduction, especially into the Low Countries' draperies, which, because of structural changes in international trade, had become re‐oriented to manufacturing luxury woollens, most woven from the finest English wools. From the 1420s, however, disastrous changes in England's fiscal policies so increased the cost of these exported wools that many of the younger Flemish draperies, the so‐called nouvelles draperies, producing imitations of the finer woollens from the older established draperies, decided to switch to Spanish merino wools (often mixed with English wools). By the mid‐fifteenth century, the merinos had indeed improved enough in quality to rival at least the mid‐range English wools. Most of the traditional draperies, however, did not adopt merino wools until much too late, and thus, by the early sixteenth century found themselves displaced by the nouvelle draperies as the leading cloth manufacturers in the Low Countries.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.004
Scholarly communication0.0060.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.044
GPT teacher head0.219
Teacher spread0.175 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations18
Published2005
Admission routes1
Has abstractyes

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