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Asymmetric Information and Efficiency

2003· book-chapter· en· W161910209 on OpenAlexaff
John Leach

Bibliographic record

VenueCambridge University Press eBooks · 2003
Typebook-chapter
Languageen
FieldArts and Humanities
TopicArt History and Market Analysis
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPaintingPortraitArtGovernment (linguistics)Art historyVisual artsMetropolitan areaHistoryArchaeologyPhilosophy

Abstract

fetched live from OpenAlex

The consensus among art experts is that a number of the Van Goghs hanging in prestigious galleries around the world are forgeries. There is less agreement as to which paintings are the forgeries and which are genuine. Some experts question the authenticity of Garden at Auvers . The French government had once considered this painting to be so important that, in 1992, it declared the painting to be an historic monument to prevent its sale to a foreigner. When the painting was last offered for sale, in 1996, concerns over its authenticity were so great that it failed to find a buyer. Other experts question Sunflowers , which was purchased by a Japanese company in 1987 for $39.9 million (U.S. dollars), at that time the highest price ever paid for a work of art. Also under suspicion are the “self-portraits” hanging in the Gemeentenmuseum in the Hague, the Van Gogh Museum in Amsterdam, and the Metropolitan Museum in New York. The number of possible forgeries is currently estimated to be about 100. Some of these paintings reached their privileged positions in innocent ways. They are copies of real Van Goghs made by art students, or paintings in the style of Van Gogh done by competent hobbyists. They were incorrectly attributed to Van Gogh at some time, and the attribution stuck.

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)0.007
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.034
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0020.006
Scholarly communication0.0090.011
Open science0.0020.003
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0230.003

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 head0.159
Teacher spread0.143 · 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 designTheoretical or conceptual
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".

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Citations0
Published2003
Admission routes1
Has abstractyes

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