Cultural Diplomacy Film Festivals: The Role and Efficacy of Film Festival Programming as Contemporary Cultural Diplomacy at the European Union Film Festival of Toronto
Bibliographic record
Abstract
This thesis explores the contemporary role of cinema and diplomatic agents as film programmers in 'cultural diplomacy film festivals'. Focusing on the European Union Film Festival of Toronto (EUFFTO) as an example of a cultural diplomacy film festival, this thesis draws from interviews with Finnish and German film programmers to understand the distinct contexts and processes of film selection, revealing differences in programming aspirations that challenge notions of a unified EU represented at the festival. The study investigates the phenomena of 'safe' and 'risky' film programming by the two countries and examines the effectiveness of film as cultural diplomacy, advocating for the inclusion of difficult and disruptive discourses by embracing the inherent volatile potential of cinema. This thesis argues that Toronto's cultural milieu plays a vital role in shaping the efficacy of cultural diplomacy film programming considering cinephile sensibilities embedded in city policy, ethnocultural diversity, and the cultural-diplomatic landscape.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.011 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".