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Record W2325391787 · doi:10.1086/ahr.113.1.276

PAOLA LANARO, editor. At the Centre of the Old World: Trade and Manufacturing in Venice and the Venetian Mainland, 1400-1800. (Essays and Studies, number 9.) Toronto: Centre for Reformation and Renaissance Studies. 2006. Pp. 412

2008· article· en· W2325391787 on OpenAlexaboutno aff
Benjamin Arbel

Bibliographic record

VenueThe American Historical Review · 2008
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMainlandOpenness to experienceEconomyMainland ChinaHistoryVariety (cybernetics)The RenaissanceEarly modern periodThe RepublicEconomic historyGeographyPolitical scienceAncient historyEconomicsArchaeologyChinaArt history

Abstract

fetched live from OpenAlex

Venice's economic importance has traditionally been attributed to its prominent role in international maritime trade. Likewise, what has widely been interpreted as its economic decline from the seventeenth century onward has been considered as a consequence of the loss of its role as a main commercial intermediary between East and West. The present collection of essays reflects a recent tendency among some Italian historians to abandon this interpretive model as far as the early modern period is concerned. By integrating research on the industrial production in the city of Venice with studies on manufacturing activities in the Venetian mainland, the relative importance of maritime trade is reduced and even the very concept of decline is put into doubt. Editor Paola Lanaro and the other nine contributors to this volume consider all Venetian territories in northern Italy as an economic system, composed of autonomous but interrelated networks, and characterized by a great variety of activities in manufactories, agriculture, trade, and finance, with an impressive competitive capacity and openness to new technologies and alternative modes of business management. Emphasis is laid on manufactories and internal trade, and, for the last two centuries covered by this collection, on the dynamics of change and adaptation in a chronological phase that has hitherto received little attention by economic historians of the Venetian Republic.

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)0.001
metaresearch head score (Gemma)0.002
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0020.002
Scholarly communication0.0050.004
Open science0.0020.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0100.006

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 head0.031
GPT teacher head0.252
Teacher spread0.222 · 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
GenreOther

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".

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Citations0
Published2008
Admission routes1
Has abstractyes

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