MétaCan
Menu
Back to cohort
Record W608430597

Hearst the Collector

2008· book· en· W608430597 on OpenAlexaboutno aff
Mary L. Levkoff

Bibliographic record

VenueMedical Entomology and Zoology · 2008
Typebook
Languageen
FieldArts and Humanities
TopicPhotography and Visual Culture
Canadian institutionsnot available
Fundersnot available
KeywordsArt historyNewspaperArtQuarter (Canadian coin)Metropolitan areaArt galleryHollywoodHistoryArchaeologyExhibitionMedia studiesSociology
DOInot available

Abstract

fetched live from OpenAlex

William Randolph Hearst (1863-1951) was one of the most famous men in America in the first half of the twentieth century. His life as a newspaper magnate and politician was caricatured in Orson Welles' Citizen Kane and his home in San Simeon, California, (known to the world as Hearst Castle but called by its owner La Cuesta Encantada, or the Enchanted Hill) is still one of the most visited house museums in America. During the 1920s and 1930s, his appetite for purchasing art accounted for fully one quarter of the world's market and his collection furnished no fewer than six separate residences.Hearst: The Collector takes the reader inside each of these palatial residences, illustrating, for the first time, the most interesting pieces from Hearst's vast holdings, which were dispersed over the years among many museums throughout the world, including the Metropolitan Museum of Art, the Los Angeles County Museum of Art, the J. Paul Getty Museum, the National Gallery of Art, the Louvre, the Rijksmueum, the Victoria & Albert Museum and the Tower of London.

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 score0.122
Threshold uncertainty score0.409

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.002
Scholarly communication0.0070.007
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.1220.052

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 head0.027
GPT teacher head0.244
Teacher spread0.217 · 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".

Quick stats

Citations3
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueMedical Entomology and ZoologySame topicPhotography and Visual CultureFrench-language works237,207