Bibliographic record
Abstract
EISENSTEIN AND THE CHALLENGE OF SOUND Discussion of Eisenstein's theory and practice in the use of sound from his first experiments in the late 1920s to the later refinement of his ideas on audio/visual correspondence in Alexander Nevsky (1938) and Ivan the Terrible (1944-46) have tended to sideline the former, but both are noteworthy in relation to Eisenstein's first experiments in sound and as a link with the elaboration of his later sound theory and practice is evident in Nevsky and Ivan. It is well-known that among the early proponents of sound, the Soviet directors' 'Statement' - a 'wish list freed from practicality'(1) - holds an important place. While opposition to synchronised dialogue was widespread, in the Soviet case there were considerations peculiar to the montage school of filmmakers, as Ian Christie makes clear.(2) By the time of the introduction of synchronised sound, the whole edifice of...
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.055 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".