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Record W4411091943 · doi:10.3390/arts14030066

Ephemeral Art as Political Commentary: Russia’s Financial Woes and French Satirical Postcards, 1905–1907

2025· article· en· W4411091943 on OpenAlexaff
Alison Rowley

Bibliographic record

VenueArts · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsEphemeral keyPoliticsPolitical scienceEconomic historyHistoryPolitical economyEconomicsLawComputer scienceComputer security

Abstract

fetched live from OpenAlex

This article looks at the ways in which satirical postcards provided political commentary at a pivotal moment in the Franco-Russian alliance. Often overlooked as a medium of communication, turn-of-the-20th-century postcards reflected contemporary cultural values and were an important art form. Here, the focus is on postcards created by Orens and Mille, two of the best caricaturists of the day, as their work offered scathing critiques of Russia’s constant need for financial assistance from its ally and point to the ways in which the public was growing weary of these demands. Closely examining some of their postcards shows how such sentiments were expressed in visual form while also revealing the power of ephemeral materials as historical sources.

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)0.003
metaresearch head score (Gemma)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0130.014
Scholarly communication0.0100.003
Open science0.0000.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.011
GPT teacher head0.237
Teacher spread0.225 · 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
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
Published2025
Admission routes1
Has abstractyes

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