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Record W3174121232 · doi:10.7202/1074968ar

Here Today and Gone Tomorrow: Jasper F. Cropsey's ‘The Backwoods of America’

2021· article· fr· W3174121232 on OpenAlexaffvenueabout
Bernard Bonario

Bibliographic record

VenueRACAR Revue d art canadienne · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicHistorical and Literary Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

The Backwoods of America est une des oeuvres principales de Jasper F. Cropsey (1823-1900), artiste de la Hudson River School. Elle fut peinte à Londres en 1858, puis présentée à la Royal Academy. En 1932, le philanthrope W.H. Abbott de London, Ontario, achetait le tableau pour l’offrir, l’année suivante, à l’Université de Western Ontario, afin d’amorcer la formation d’une collection d’oeuvres d’art. En 1981, l’Université se départissait de son tableau lors d’une vente aux enchères à New York. The Backwoods of America fait voir chez Cropsey un intérêt croissant pour le côté rude de la vie dans les régions nouvellement défrichées de l’Amérique. Toutefois son intérêt ne s’arrête pas au reportage objectif. Son tableau renferme des allusions au cycle de la vie et de la mort. Le contraste romantique entre la durée éphémère de la vie humaine et le perpétuel renouvellement de la nature apparaît clairement dans la façon d’opposer, au premier plan du tableau, la pierre tombale, sur laquelle l’artiste a signé sa toile, et une grosse souche d’arbre. The Backwoods of America appartient aux années les plus fructueuses de la carrière de Cropsey et représente cette phase du milieu du xixe siècle où se côtoyent une vision subjective de la nature héritée du romantisme et une approche plus objective et scientifique introduite par les naturalistes.

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: Other · Consensus signal: Other
Teacher disagreement score0.900
Threshold uncertainty score0.199

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.004
Scholarly communication0.0050.004
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.013
GPT teacher head0.222
Teacher spread0.209 · 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

Citations1
Published2021
Admission routes3
Has abstractyes

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