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Record W1950965274 · doi:10.33137/q.i..v24i1.9257

Daily Life in Renaissance Italy

2003· article· fr· W1950965274 on OpenAlexvenueno aff
Elizabeth S. Cohen, Thomas V. Cohen, John Gagné

Bibliographic record

VenueQuaderni d italianistica · 2003
Typearticle
Languagefr
FieldArts and Humanities
TopicRenaissance Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsThe RenaissanceHonorClothingLiteracyOrder (exchange)Family lifeHistoryEveryday lifeArtSociologyGenealogyArt historyPolitical scienceArchaeologyLaw

Abstract

fetched live from OpenAlex

In this volume, Elizabeth and Thomas Cohen present an engaging and wide-ranging study of everyday life in the palaces, houses, and hovels of early modern Italy.As part of the Greenwood Press's "Daily Life" series, this book will serve admirably as a social history textbook, particularly given its intermingling of historiography with original research.Cohen and Cohen begin with fundamentals; they define each of the terms in the book's title ("daily life," "Renaissance," and "Italy") in an effort to erase any preconceptions a student might have about the history of this Mediterranean peninsula."Renaissance" is perhaps the stickiest of these terms, and since Cohen and Cohen use it in a strictly temporal sense, their Renaissance is naturally differ- ent from the traditional Burckhardtian understanding of blossoming individuali- ty, which they call an overstated cliché.Indeed, by comparison, the Cohens devel- op a persuasively rich and organic definition of Renaissance individualism which they link to networks of kith and kin, social institutions and hierarchies, all of which provided room for agency and "nuanced self-expression" (87).Agency, agonism, and the exigencies of honour take the foreground in this depiction of Renaissance Italians.Cohen and Cohen paint an image of a deeply familiar (or 'face-to-face') society, one that saw honour as a "conservative" ethic (99), allowingItalians to preserve the delicate bonds holding families, friends, and society togeth- er.At the same time, honour was constantly threatened by pervasive, uncontrol- lable, and often unexpected forces and so teetered in fragile balance between con-

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.004
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.002

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 head0.026
GPT teacher head0.245
Teacher spread0.219 · 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
Published2003
Admission routes1
Has abstractyes

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