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Record W2010007002 · doi:10.1215/10829636-2338572

Medieval and Early Modern Artisan Culture

2013· article· en· W2010007002 on OpenAlexaff
Margaret Aziza Pappano, Nicole R. Rice

Bibliographic record

VenueJournal of Medieval and Early Modern Studies · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsCraftPeriod (music)Representation (politics)CommodityMiddle AgesIdentity (music)Early modern periodSociologyHandicraftVariety (cybernetics)HistoryAestheticsArtAncient historyPoliticsLawPolitical scienceArchaeologyEconomicsMarket economy

Abstract

fetched live from OpenAlex

As an economic category, artisans are typically bounded by two historical markers: on one side, the rise of urban centers in the medieval period, and on the other side, the reorganization of commodity production as a result of industrial capitalization in the early modern period. As much as by their manufacturing and retailing work, premodern artisans may be recognized by specific social practices, such as guild membership, devotional associations, relations to community and nation, and distinctive gender organization. From the fourteenth to the seventeenth century, the period that witnessed artisans’ greatest influence, their identity was largely relational, defining itself from and against those who shared overlapping interests: merchants, waged laborers, and women. In addition, the premodern period saw important shifts in the epistemological status of “craft,” “art,” and “knowledge,” which began to create cultural divisions between artisan and artist, artisan and scientist. The essays in this volume explore artisan culture from a variety of perspectives, analyzing the representation of premodern artisans as distinctive cultural producers and considering artisans’ dynamic participation in the realms of literate, legal, and devotional culture.

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)0.001
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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.008
Scholarly communication0.0040.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.037
GPT teacher head0.245
Teacher spread0.208 · 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

Citations5
Published2013
Admission routes1
Has abstractyes

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