Published • loading... • Updated
'Nina Roza' Selected as Canada's Submission for Oscars International Film Category
The Canada-Belgium-Bulgaria-Italy co-production won the Silver Bear for best screenplay in Berlin and will next screen at major festivals.
- On Tuesday, Telefilm Canada announced that "Nina Roza" is Canada's contender for best international feature at the 99th Academy Awards.
- Directed by Geneviève Dulude-De Celles, the film follows an art expert returning to Bulgaria to authenticate works by an 8-year-old child prodigy; it is a Canada-Belgium-Bulgaria-Italy co-production.
- Following its world premiere at the Berlin International Film Festival, the movie won the Silver Bear for best screenplay before a theatrical release in Quebec in April.
- In a written statement, Dulude-De Celles said, "I am both delighted and humbled," adding that the film explores "the long-term impact of migration, legacy and identity."
- The Academy of Motion Picture Arts and Sciences will announce the 15-film shortlist on Dec. 15, followed by final nominees on Jan. 21, 2027.
Insights by Ground AI
13 Articles
13 Articles
Winnipeg Free Press+2 Reposted by 2 other sources
'Nina Roza' selected as Canada's submission for Oscars international film category
TORONTO - A film about a Bulgarian-Canadian art consultant's investigation into a supposed child prodigy from his homeland is Canada's submission for Oscars consideration.
·Winnipeg, Canada
Read Full Article
Geneviève Dulude-De Celles' feature film won the Silver Bear of Best Scenario at the Berlinale.
·Montreal, Canada
Read Full Article
The film Nina Roza, by Quebec's Geneviève Dulude-De Celles, will represent Canada in the Oscar race for the best international film.
·Montreal, Canada
Read Full Article
The film "Nina Roza", by Quebec's Geneviève Dulude-De Celles, will represent Canada in the Oscar race for the best international film.
·Montreal, Canada
Read Full ArticleCoverage Details
Total News Sources13
Leaning Left5Leaning Right0Center4Last UpdatedBias Distribution56% Left
Bias Distribution
- 56% of the sources lean Left
56% Left
L 56%
C 44%
Factuality
To view factuality data please Upgrade to Premium
