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Record W2781819548

Incidentes en el mundo sedero toledano. Siglo XVIII

2017· article· es· W2781819548 on OpenAlexaboutno aff
Ángel Santos Vaquero

Bibliographic record

VenueTiempos modernos: Revista Electrónica de Historia Moderna · 2017
Typearticle
Languagees
FieldArts and Humanities
TopicHistorical Art and Architecture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesQuarter (Canadian coin)CartographyArtGeographyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

La mayor industria de Toledo durante la Edad Moderna fue la de tejidos de seda. Su epoca de mayor apogeo fue el siglo XVI, comenzando su decadencia en el ultimo cuarto de dicho siglo, continuando su declive a lo largo de la centuria siguiente y desapareciendo a finales del XVIII o principios del XIX. Las causas de su ruina fueron multiples, unas generales al pais, por lo tanto no achacables especificamente a Toledo; otras propias del gremio y de las ordenanzas que le regian. La hartura de soportar los tejedores una discriminacion en la cuenta, peso y ley de sus tejidos con respecto a otras ciudades y a los importados del extranjero, les condujo a realizar un plante en el ano 1737, paralizando sus telares cortando las telas que en ellos estaban laborando.  The most important industry of Toledo during the Modern Age was that of fabrics of its silk fabrics. Its moment of major height was the 16 th century, beginning his decadence in the last quarter of the above mentioned century, continuing his decline throughout the following century and disappearing at the end of the 18 th or beginning of the 19 th . The reasons of its ruin were multiple, a few of them were applicable to the whole country, therefore not imputable specifically to Toledo; but others are linked to the union and the ordinances that were being applied. The weavers were fed up after being discriminated regarding the account, weight and law of its fabrics in comparison with other cities and to the materials imported by the foreigners, drove them to go on a strike in the year 1737, paralyzing his looms and cutting the fabrics with which they were working.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.828
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0080.001
Scholarly communication0.0030.001
Open science0.0030.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.018
GPT teacher head0.277
Teacher spread0.259 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2017
Admission routes1
Has abstractyes

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