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Record W2767131573 · doi:10.18357/tar81201716809

The Barbizon School (1830-1870): Expanding the Landscape of the Modern Art Market

2017· article· en· W2767131573 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueThe Arbutus Review · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsArt marketIdealizationPaintingGlobeModern artSubject (documents)Visual artsContemporary artArtAbstract artArt historyPerformance artPsychologyLibrary scienceComputer science

Abstract

fetched live from OpenAlex

During the 1830s to the 1870s, a cohort of French artists developed new approaches to landscape painting and became known collectively as the Barbizon School. This informal group of artists were proponents of an innovative way of painting in which nature was the central subject of their artworks. Moreover, nature was depicted without the classical idealization or polished refinement required by the French Academy at the time. Barbizon artists were also the catalysts for changes in how art was sold during the 19th century, paving the way for an open art market system that spread across the globe and continues unchanged to this day. Using Jean-Baptiste-Camille Corot (1796-1875) as a case study, I establish the ways in which the Barbizon School forged new stylistic and economic possibilities for later modern art movements, most prominently Impressionism, outside the purview of the French Academy. I also highlight the ways in which the Barbizon artists and their supporters contributed to the formation of a new art market founded upon an interconnected network of producers, consumers, and distributors.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.631
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.259
Teacher spread0.226 · 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