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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

From the Publisher: Discover what life was like for ordinary people living in Renaissance Italy. How was their society organized? What were their homes like? What dangers did they face? These and other questions are answered in detail to provide the reader with a unique view of the world of the Italian Renaissance. A multitude of settings and socioeconomic backgrounds are presented, from urban life to country life, from upper-class to peasant-class, to paint a full portrait of the different kinds of existence of people of this culture. Recipes, profiles of actual individuals, and over 40 illustrations help bring the period to life. Learn what they ate, what their homes were like, how they spent their leisure time, what their work was like, and much more. Modern readers will be surprised to find fundamental similarities between our lives today and the lives of these people living over 500 years ago, as well as to discover that many of the perceptions they may have of this time period are inaccurate.

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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