The Road Movie, Space, and the Politics of Lesbian Representation in Diego Lerman's "Tan de repente"
Bibliographic record
Abstract
Mediante el uso del concepto de genero cinematografico planteado por Christine Gledhill y de la teorizacion del espacio social propuesta por Henry Lefebvre, este articulo busca indagar en las politicas de representation que el filme argentino Tan de repente (Diego Lerman, 2002) utiliza para hacer visible al sujeto lesbico. Siguiendo a Gledhill, el entrecruce de generos cinematograficos que caracteriza la cinta pone de relieve la idea de genero como modalidad. A su vez, una interpre tation del espacio social como espacio percibido, concebido y vivido, segun Henry Lefebvre, permite el examen del genero cinematografico con respecto a su dimen sion de practica estetica, industrial y critico-discursiva, y en relation con discursos sobre la juventud, el deseo sexualy el control de la reception/interpretation que la pelicula invoca. Si bien Tan de repente se puede considerar como un avance en terminos de representation al darle un protagonismo positivo al sujeto lesbico, la ambiguedad que caracteriza tal representation revela ansiedades culturales que desdibujan la linea entre la visibilidady el borramiento de la lesbiana. Esto se nota tanto en el interior del filme, con la negation del lesbianismo por parte de las protagonistas, como al nivel parafilmico, a juzgar por los comentarios de Diego Lerman y de las actrices en los papeles principales. La desazon expresada enfatiza el posicionamiento del genero cinematografico como parte integral del espacio social, el cual esta intrinsecamente conectado a la production de conocimiento, su diseminacion, control y reformulation.
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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 | 0.000 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".