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Record W1997540638 · doi:10.4000/nuevomundo.1629

The Feather Book of Dionisio Minaggio

2005· article· es· W1997540638 on OpenAlexaffabout
Eleanor MacLean

Bibliographic record

VenueNuevo mundo mundos nuevos · 2005
Typearticle
Languagees
FieldSocial Sciences
TopicHistorical Influence and Diplomacy
Canadian institutionsMcGill University
Fundersnot available
KeywordsFeatherArt historyVisual artsWork (physics)ArtState (computer science)GenealogyHistoryEngineeringComputer scienceZoologyBiologyMechanical engineering

Abstract

fetched live from OpenAlex

Made in 1618 by Dionisio Minaggio, Chief Gardener of the State of Milan, the Feather Book consists of 157 collages of birds, hunters, tradesmen, musicians and Commedia del’Arte figures. The latter are the best known and most widely written about, but the entire collection is of interest. I will discuss the Feather Book’s creation, contents and construction, along with its history, provenance and acquisition by McGill University. Efforts made to protect and conserve the work will be covered, as will the exhibits and some of the research that has been done on the work.

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)0.000
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0330.013

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 head0.016
GPT teacher head0.325
Teacher spread0.309 · 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

Citations1
Published2005
Admission routes2
Has abstractyes

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