Bibliographic record
Abstract
Abstract Director-producer-actor Armando Bó made films featuring nude appearances by the voluptuous star Isabel “Coca” Sarli that challenged the social constraints that were taking hold in a more restrictive and violent Argentina. The period from the fall of Juan Domingo Perón in 1955 until the end of the “Guerra Sucia” or Dirty War in 1983 marked a volatile time in the history of Argentina, with ever-increasing acts of state violence. It coincided with a parallel in the film industry: the state began to intervene in production and exhibition practices through laws that limited what was seen on the screen, until censorship was formally legalized. The work of Bó and Sarli falls perfectly within the historical period of onscreen and offscreen violence. The enterprise began in 1956, and their final film was released in 1984 (after the end of the dictatorship and the death of the director). The couple produced films that suffered from the aggressive effects of censorship—through the cutting of specific scenes that displayed the female body—and reflected the growing violence in everyday life. Films like Carne (Flesh, 1968) and Furia infernal (Ardent summer, 1973) tell simple stories of seemingly weak females and aggressive macho males. A closer look at their narratives, however, reveals a more complex femininity and masculinity, one where violence begets violence. Throughout the twenty-seven films they made together, Bó and Sarli consistently revealed sexuality and gender issues at a time when these were invisible in Latin America.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.013 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".