Models of New Femininity and Masculinity in Soviet Russia in the 1920s
Bibliographic record
Abstract
STARS OF EARLY AMERICAN CINEMA AS MODELS OF NEW FEMININITY AND MASCULINITY IN SOVIET RUSSIA IN THE 1920S This paper explores some of the cinematic links that existed in the 1920s between Soviet Russia and its great "Other", America. It argues that in that decade, stars of silent American cinema, in particular Douglas Fairbanks Sr., Pearl White, and Mary Pickford offered the Soviet viewers, as well as critics and filmmakers, alternative models of new masculinity and femininity. For Soviet Russia in the 1920s, America became a kind of measuring stick of success(1) on the road toward the new, technologically advanced and efficient Soviet society. While the communist future was not yet attained, and the country was undergoing a process of massive transformation, the adjective "American" acquired a new meaning: it became a metaphor for excellence(2) and led to the appearance and wide use of the discursive practice...
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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 | 0.000 |
| Science and technology studies | 0.003 | 0.015 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".