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Record W1989059876 · doi:10.3366/anh.2011.0028

Patron's review. The role of images in the development of Renaissance natural history

2011· article· en· W1989059876 on OpenAlexaff
Sachiko Kusukawa

Bibliographic record

VenueArchives of Natural History · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Natural History
Canadian institutionsTrinity College
FundersRoyal Society
KeywordsClassicismAdmirationThe RenaissanceNatural (archaeology)ScholarshipObject (grammar)PassionPeriod (music)Natural historyArtHistoryLiteratureVisual artsAestheticsArt historyPhilosophyArchaeologyPsychologyEcology

Abstract

fetched live from OpenAlex

This review surveys recent scholarship on the history of natural history with special attention to the role of images in the Renaissance. It discusses how classicism, collecting and printing were important catalysts for the Renaissance study of nature. Classicism provided inspiration of how to study and what kind of object to examine in nature, and several images from the period can be shown to reflect these classical values. The development of the passion for collecting and the rise of commerce in nature's commodities led to the circulation of a large number of exotic flora and fauna. Pictures enabled scholars to access unobtainable objects, build up knowledge of rare objects over time, and study them long after the live specimens had died away. Printing replicated pictures alongside texts and enabled scholars to share and accumulate knowledge. Images, alongside objects and text, were an important means of studying nature. Naturalists' images, in turn, became part of a larger visual culture in which nature was regarded as a beautiful and fascinating object of admiration.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.999
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.005
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0140.005

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 head0.212
Teacher spread0.181 · 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.

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

Citations11
Published2011
Admission routes1
Has abstractyes

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