Tekotomu
Approved
Classifications
MinEdu publication type
F1 Published independent work of art or performance
Definition
Art publication
Type of artistic activity
Published independent work of art or performance
Publication channel information
ISBN (print)
978-952-7573-42-6
Publisher
Viestintätoimisto Kirjokansi
Country of publication
Finland
Internationality
No
Detailed publication information
Publication year
2025
Reporting year
2025
Language of publication
Finnish
Co-publication information
International co-publication
No
Co-publication with a company
No
Public activity related to art and industrial art
Art form
Literature
Field of art type
comics
List of events
Event
Publication event
Starting date
08.12.2025
Ending date
08.12.2025
Place of presentation
Karelian Institute
Place of publication
Joensuu
Classification and additional information
MinEdu field of science classification
616 Other humanities
Keywords
Borders; borderscapes; border studies; comics-based research; folklore studies
Additional information
Tekotomu is the third graphic novel by Korolainen, which concerns borders and border studies related topics. The novel was made in a project that combines research and art: Borderscapes within Folklore: An Interdisciplinary and Artmaking Viewpoint on Borders in Folklore Materials (funded by the Kone Foundation, 2022–2025). The project illuminates how borders link to normative negotiation and social experimentation for instance in that cultural ideas, identities and order are not only created and negotiated, but also challenged, dismantled and resisted at borders and with borders. Hence, besides the movement in-between, also the state of being in-between is crucial. This is also what Tekotomu graphic novel is about.
Funding information
Funding information in the publication
Borderscapes within Folklore: An Interdisciplinary and Artmaking Viewpoint on Borders in Folklore Materials (funded by the Kone Foundation, 2022–2025).
Funders
Funder
-
Name of funding
-
Funding decision
-
Research data information
Identifiers
Dataset identifier
-