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Record W2990955522 · doi:10.24908/iqurcp.9873

8. Infrared Reflectography of Edward Hopper’s High Noon: Questions of Authentication

2018· article· en· W2990955522 on OpenAlexvenueaboutno aff
Ian E. Longo

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2018
Typearticle
Languageen
FieldNeuroscience
TopicAesthetic Perception and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsNoonSketchVisual artsOil paintingGlobePaintingWifeArtArt historyPalm oilHistoryComputer scienceLawGeologyEnvironmental sciencePsychologyPolitical science

Abstract

fetched live from OpenAlex

An unprovenanced oil study, purportedly by the early American realist Edward Hopper (188* -1967), was purchased in 2007 on eBay by a pair of brothers from Ontario. It is a smaller, poorly-executed near-copy of Hopper’s High Noon at the Dayton Art Institute. Given that detailed diary entries by Hopper’s wife, Josephine, note only that four charcoal sketches preceded the final version of High Noon, and fail to mention an oil study, Gail Levin, the author of Hopper’s catalogue raisonné, has conservatively concluded that it can at best be assigned to a dedicated follower. Can Infrared Reflectography of the two paintings shed light on the question of authenticity? Many pigments used by Hopper become transparent in the Near Infrared spectrum, a fact verified by a test-panel. By using a DSLR camera, converted to detect IR, charcoal sketches on the primed canvas of the original were revealed. While IR Reflectography reveals earlier stages in the composition of the authentic High Noon, stages suggested by the charcoal sketches, IR does not provide positive proof for the authenticity of the oil sketch. The issue of authenticity became further complicated when the media, led by the Globe and Mail, took up the case of the owners and overstated the IR results. At present the IR investigation suggests only that the oil study was painted by a follower working from either Josephine’s diary or, more intriguingly, from Hopper’s own sketches, which are held in a private collection.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.134
GPT teacher head0.405
Teacher spread0.271 · 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 teacher head, not a consensus.

Study designBench or experimental
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

Citations0
Published2018
Admission routes2
Has abstractyes

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