6. World Cinema of Socialist Industrial Modernity
Bibliographic record
Abstract
an important Soviet Russian film scholar and critic, used to recount a story of how he worked as a film interpreter at the Tashkent film festival when he was fresh out of the university.Once he was tasked with doing a live voice-over translation of an Iraqi documentary, working from French subtitles (a common practice at the festival).But when the film arrived, it turned out that one of the reels had no subtitles, so Razlogov had to improvise.Using his experience, he not only effortlessly inserted his own version of a standard celebratory narrative of the country's continuous path toward progress but was even able to, in real time, predict the order of sequences.In a pastoral sequence featuring a body of water, Razlogov concluded his improvised description of its natural beauty with the pronouncement of the importance of water as a source of energy.And sure enough, the next image appearing on the screen was a hydroelectric station! 1This anecdote highlights many important aspects of the festival: films frequently arrived at the last minute, unseen by the organizing committee, which often left it to the live translators to interpret them to the public, at times regardless of their knowledge of the language or availability of a script.The prevalence of certain kinds of films at the festival made them predictable, but in this case Razlogov's prescience was due not only to his knowledge of Asian or African films; many of the same tropes as hydroelectric stations were a well-worn motif in Soviet cinema, all too familiar to its audiences.As Mariia Koskina argues-paraphrasing Katerina Clark's famous formula of the master plot of socialist-realist narratives "boy meets girl and gets a tractor"-by the 1960s an apt description of Soviet cinema could be "boy meets girl and they build a dam." 2 Beyond the general disdain of the genre of institutional documentary such as the one Razlogov was asked to translate on that occasion (an attitude certainly shared by film critics worldwide), the humor of his anecdote articulates the fatigue Working in an energetic feedback loop, film and oil, the last century's most powerful media, co-constituted the world we have today.From the floors of the Persian Gulf to Abu Dhabi, Zanzibar, Papua, Sicily, the Canadian Rockies, and even Antarctica, BP's global prospecting efforts mapped out a new corporate world shaped by forward-thinking progress.Film . . .did more than just reveal this new world; it helped create it. 3
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.002 |
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".