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Record W2030938774 · doi:10.1017/s0963926810000581

Postscript: charismatic things and social transaction in Renaissance Italy

2010· article· en· W2030938774 on OpenAlexaff
Thomas V. Cohen, Elizabeth S. Cohen

Bibliographic record

VenueUrban History · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsYork University
Fundersnot available
KeywordsThe RenaissanceCharismaScholarshipIngenuityModernityEarly modern EuropeState (computer science)ArtSolidarityBeautyArt historyAestheticsSociologyHistoryClassicsPolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

In 1860, Jacob Burckhardt published his view, still influential today, of an artful, urban Italian Renaissance that launched Europe on its passage to modernity. A lively revisionary scholarship has challenged Burckhardt on many points, but his famous formulae still resonate: the state as work of art; the development of the individual; the discovery of the world and of man. Although we now know that Italy did not alone invent the new age, it was for many years a trendsetter, especially in the domains of cultural production at the centre of this collection of essays. Republican and princely polities alike framed these developments, but, whoever ruled, Italy's unusually intense urbanization (paired with that in another well-spring of culture in the Low Countries) fostered innovation. In Renaissance cities, people and groups invested heavily in special actions, objects and places – charismatic cultural products empowered by holiness, beauty, fame and ingenuity – that fortified solidarity and resilience in uncertain times. This essay collection addresses a conjunction of urban culture and society distinctive to Renaissance Italy: an array of encounters of artifacts with ways of living in community.

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: Other
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.005
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.002
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 head0.019
GPT teacher head0.178
Teacher spread0.158 · 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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Citations2
Published2010
Admission routes1
Has abstractyes

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