Za vysokoe kachestvo produktsii, za chest' sovetskoi marki! (To the High Level of Quality of Production, to the Honor of Soviet Brands!), no. 4 of 12 Artist: Igor Kominarets (Russian(?), born 1923)
Artist: A. Merkusheev (Russian(?), active late 20th century)

1986

Prints and Drawings

By appointment, Wurtele Study Center
Medium

Color offset lithograph

Dimensions

sheet: 16 15/16 × 21 5/8 in. (43 × 55 cm)

Credit Line

The Allan Chasanoff, B.A. 1961, Russian Poster Collection, curated with Kevin Begos

Accession Number

2018.136.687

Geography

Made in Soviet Union

Culture

Soviet

Period

20th century

Classification

Prints

Disclaimer

Note: This electronic record was created from historic documentation that does not necessarily reflect the Yale University Art Gallery’s complete or current knowledge about the object. Review and updating of records is ongoing.

Provenance
Allan Chasanoff Collection, New York, to 2018; Yale University Art Gallery, New Haven, Conn.
Object copyright
Not Assigned
Additional information

Object/Work type

didactic art, offset lithographs, political art, posters, propaganda

Subject

communism

Inscriptions

27th congress of the CPSU - the path of acceleration! \r\nWork qualitatively and with great efficiency! (poster by I. Kominarets)\r\nFor initiative and enterprise of labor collectives - to ensure final results! \r\nKomsomol searchlight \r\nMismanagement - fight! \r\nQuality is the guarantee of progress! We will fulfill the resolutions of the 27th congress of the CPSU! Increase personal responsibility! (Poster by A. Merkushev) \r\nCompetition is a powerful factor for the increase of the quality of production\r\n\r\nLL: [printing information]\r\nLR: p 4

Technical metadata and APIs

IIIF

Open in Mirador

View IIIF manifest

The International Image Interoperability Framework, or IIIF, is an open standard for delivering high-quality, attributed digital objects online at scale. Visit iiif.io to learn more

Linked Art

API response for this object

Linked Art is a Community working together to create a shared Model based on Linked Open Data to describe Art.