An Air Map for World Cinema: Aeroflot as an Infrastructure for Cinematic Internationalism
Bibliographic record
Abstract
The expansion of global air travel in the Cold War era fueled diverse forms of state‐sponsored internationalism, including international writers' congresses, concert tours, and especially art and film festivals. Film festivals served as a key stage for cultural competition between the United States and the Soviet Union, as well as the main way for decolonized Asian and African states to showcase their new national cinemas. The Soviet state airline, Aeroflot, shaped international participation at the Moscow International Film Festival (1959‐) and Global South participation at the Tashkent Festival for Asian, African, and Latin American Cinema in Uzbekistan (1968‐). This article analyzes Aeroflot as an infrastructure for cinematic internationalism. The socialist economics of air travel shaped “world cinema maps” that emerged at Moscow and Tashkent. Aeroflot enabled Soviet cinematic diplomacy, but also constrained it: it delayed Tashkent festival's expansion to Latin America, where the airline had few inroads. For local publics, films brought in airplane luggage at the last minute provided uncensored transnational cinematic experiences that occasionally elided not just Soviet, but also Syrian or American diplomatic control. Aeroflot's inefficiencies put foreign delegates face‐to‐face with Soviet everyday life and reproduced global inequalities: filmmakers from the Global South, whose travel was covered by their Soviet hosts, were at the mercy of Aeroflot's delays, while festival guests from Western Europe and the United States could count on their own national airlines for transportation. Free Aeroflot tickets ensured nearly comprehensive participation of Global South nations, in order to promote Soviet filmmaking as the model for emergent Asian and African cinemas. Yet Third Worldist alliances forged at Moscow and Tashkent—among African organizers of the Pan‐African Federation of Filmmakers, or between Cuban and Vietnamese militant cineastes—often bypassed, contradicted, or exceeded Soviet diplomatic goals. More broadly, I argue that Soviet official internationalism—its technologies, bureaucracies, and expenditures—should be analyzed as an infrastructure that enabled multiple internationalist projects, some conceived elsewhere and working toward goals tangential or inimical to Soviet state purposes. Much existing work on Soviet internationalism zeros in on the state's attempts to win the “hearts and minds” of Soviet or foreign citizens. Conversely, the infrastructural approach focuses on informal transnational alliances and personal ties built on Soviet terrain, while also accounting for Soviet institutional, economic, and technological power that shaped the “contact zones” where these encounters took place.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
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".